Xiaobing (Peter) Shang
Federal Financial Manager · Data Scientist · Agentic AI Specialist · Digital Transformer
Senior federal financial professional with 15+ years of experience in financial management combining
AI/ML, data science, and full-stack development to build production systems at the intersection of policy and technology.
15 live production applications — click to explore
Professional Summary
Senior Federal Financial Management professional specializing in financial management, budgeting, enterprise analytics, AI integration, and internal controls. Extensive CFO-level advisory experience supporting $300B+ portfolios. Expertise spans financial governance, reconciliation, predictive analytics, risk analysis, technology modernization, enterprise data platforms, and AI-enabled decision-support solutions.
Core Competencies
Federal Financial Management & Governance
Financial Reporting & Compliance Oversight
Budget Formulation & Execution Strategy
Payroll & Workforce Cost Modeling
Machine Learning & AI-Enabled Analytics
Agentic AI Strategy & RAI Governance
Financial Systems & Data Integration
Congressional & OMB Financial Reporting
Advanced Data Analytics & Dashboards
Financial Statement & Ratio Analysis
Capital Budgeting & DCF Analysis
Quantitative Modeling & Forecasting
Professional Experience
Portfolio Manager - AI Integration, Analytics & Reconciliation
Deputy Chief Financial Office, Office of the Secretary of Defense (Comptroller), Department of Defense
Pentagon, DC | GS-0560-15
Lead enterprise financial analytics and AI integration portfolio supporting senior leadership. Oversee multidisciplinary team delivering CFO decision-support, automation, and advanced analytics capabilities using ADVANA and enterprise AI-enabled data platforms.
- ▸Direct integration of 20 general ledgers into centralized execution reporting covering $338B in obligations/expenditures and $200B in accounts receivable, payable, revenue, expenses
- ▸Develop a Department-wide Spend Plan Module to bridge the gap between planned funding cycles and real-world execution outcomes
- ▸Design predictive workforce liability models to automate payroll forecasting and improve long-term budgetary planning accuracy
- ▸Established financial governance frameworks and reconciliation controls to strengthen audit traceability and data integrity
- ▸Architect and develop AI-enabled financial analytics solutions supporting anomaly detection, reconciliation analysis, predictive forecasting
- ▸Build Agentic AI and ML prototypes integrating ADVANA and financial management data to improve audit and reporting efficiency
- ▸Provide executive-level variance, trend, and risk analysis with actionable insights for senior leadership decision-making
Senior Budget Analyst
Program and Budget, Office of the Secretary of Defense (Comptroller), Department of Defense
Pentagon, DC | GS-0560-15
- ▸Managed formulation and execution review for major defense portfolios
- ▸Reviewed 40+ Budget Justifications; issued 50+ Program Budget Decisions; identified $2B+ realignments
- ▸Conducted financial trend and variance analysis; responded to OMB and Congressional inquiries
- ▸Automated financial databases improving reporting speed and reconciliation accuracy
Financial Systems Analyst / Budget Analyst
Office of Inspector General, Department of Defense
Alexandria, VA | GS-13/14
- ▸Built automated spend plan forecasting and financial risk assessment models
- ▸Reconciled 700K+ transactions resolving $10M abnormal balances
- ▸Performed COR duties overseeing contract cost, schedule, and performance compliance
- ▸Conducted internal control reviews and authored financial management procedures
Budget Analyst / Resource Manager / Program Analyst
U.S. Army (Multiple Commands)
Redstone Arsenal, AL | Germany | Korea | GS-11/12
- ▸Managed $45M payroll program for 500+ personnel; reduced payroll excess by 20%
- ▸Managed financial operation, internal control, GPC program and 1,100 individual GTC accounts; reduced GTC delinquency rate by 40%
- ▸Executed funds in GFEBS (SAP-based ERP) and conducted UMD/ULO reconciliations
- ▸Applied Earned Value Management to monitor acquisition cost, schedule, and performance
IT & Data Science
Analytics & Data
Languages & Libraries
Platforms & Tools
ML & Capabilities
Technology & Systems
Full-Stack Development
LLM & Agentic Engineering
DevOps, Cloud & Domain
Education
M.S. Data Science
Saint Peter's University
M.S. Digital Forensics & Cyber Investigation
Univ. of Maryland Global Campus
M.S. Cybersecurity Technology
Univ. of Maryland Global Campus
Master of Business Administration
University of Phoenix
B.S. Accounting
Univ. of Maryland University College
B.S. Acupuncture
Shandong Uni of TCM
Training & Certifications
Certified Defense Financial Manager (CDFM)
DoD Financial Management Level III
DoD Financial Management Level II
DAWIA Financial Management Level II
IBM Data Science Professional Certificate
IBM Applied Data Science Specification
GWU Data Analytics & Visualization Boot Camp
CS50's Introduction to AI with Python
5-Day AI Agents Intensive Course
Foundry & AIP Builder Foundations
Deep Dive: Creating Your First Ontology
Speedrun: Data Science Fundamentals
Speedrun: Your First AIP Workflow
Portfolio & Projects
15 live production applications spanning federal financial management, AI engineering, and data science.
Knowledge · Skills · Abilities — Demonstrated Across Portfolio
AI Use Case Library — DoD FM, Audit & Finance
6,442 searchable AI use cases across 5 workbooks · aiinaction.vercel.app
A searchable AI use-case intelligence library indexing 6,442 federal and DoD financial-management AI opportunities across four source workbooks — the DoD FM AI Use Case Catalog v2.1, the Federal/Audit/Finance catalog, and both 2025 OMB government-wide AI inventories (individually reported and consolidated COTS) — plus four strategy and adoption papers. Search by keyword, browse by catalog or mission area, or open any use case to see its full evidence trail, priority score, and risk rating, with an insights dashboard that flags evidence type and source basis before findings go to leadership.
6,442 Use Cases Indexed
One searchable index across five source workbooks — DoD FM, Federal/Audit/Finance, and both 2025 OMB inventories
4 Source Workbooks
DoD FM Catalog v2.1 (1,381), Federal/Audit/Finance (550), OMB Individually Reported (3,611), OMB Consolidated COTS (900)
Priority & Risk Scoring
Every DoD FM use case scored against FY27/FY28 audit priorities, material line items, and portfolio tiers
4 Strategy Papers
DoD FM AI Integration Strategy, General AI Adoption, AI Best Practices, and Advana-FM Architecture Blueprint — Word + PDF downloads
Full-Text Search & Browse
Keyword search, workbook/mission-area filters, and a full evidence trail on every catalog entry
Insights Dashboard
Breakdown by evidence type, priority, and risk — flags self-reported vs. source-derived data before it reaches leadership
DoD FM System Architecture Blueprints
17 DoD financial system deep-dives + research appendix · dodfmsys.vercel.app
A comprehensive interactive reference spanning 17 DoD financial management systems — GFEBS, GCSS-Army, LMP, GCSS-MC, STARS, SABRS, FAMIS, DDRS, GTAS/CARS, Navy ERP, DAI, DEAMS, GAFS (plus GAFS-JV), CEFMS, DLA EBS, and ABSS — each mapped through the same Source → Detail → GL → Statement lineage model with a shared audit lens and UoT traceability view. Paired with a 12-section, 4-appendix research paper covering the financial systems landscape, cross-system comparison matrix, the full transaction lifecycle (travel, contracts, inventory, property, leases, IGT, F-35), and how a DoD financial statement audit actually works.
17 System Blueprints
GFEBS, GCSS-Army, LMP, GCSS-MC, STARS, SABRS, FAMIS, DDRS, Navy ERP, DAI, DEAMS, GAFS, CEFMS, DLA EBS, ABSS & more
Source→Detail→GL→Statement
Consistent lineage explorer, audit lens, and static reference toggle across every system page
12-Section Research Appendix
Executive summary through GTAS/DDRS reporting mechanics, JV lifecycle, and budget-to-disbursement systems
Audit Readiness Lens
Five assertions, FIAR/NFR/CAP remediation, and a worked audit example (Appendix B)
UoT Lineage Model
Source-to-statement traceability mapped consistently across all 17 systems
7 Worked Use Cases
Travel, contracts, inventory, property, leases, IGT, and the F-35 program, feeder-to-statement
The Study-Hour Ledger
Interactive study-hour ROI calculator · uselessgadget.vercel.app
An illustrative, interactive ROI calculator that reframes a study hour as a compounding investment rather than a sunk expense — five adjustable levers (compounding rate, years to peak payoff, market value of the hour, value of future free time, efficiency bonus) show exactly how timing changes the payoff, backed by a year-by-year compound-growth chart, dark mode, and confetti. Born from an actual conversation with my son about why an early hour of focused study is worth more than a later one.
Interactive ROI Calculator
5 adjustable levers compute hours of future free time returned by 1 hour of study today
Compound Growth Chart
Year-by-year visualization of value compounding from today to the payoff year
Research-Grounded Model
Built on Heckman's 7–13%/yr return findings for early childhood learning investment
5 Tunable Levers
Compounding rate, years to payoff, hourly cost basis, future hour value, efficiency bonus
Dark Mode + Confetti
Polished interactive UI with celebratory feedback on the computed ratio
A Real Product Story
Built in one evening from a real conversation with a real kid — ship, observe, iterate
ANY FED — Federal Financial Management Portal
Any-agency federal FM intelligence · anyfeddemo.vercel.app
The flagship build: a complete federal financial management portal that works for any of 28 CFO Act and independent agencies. DoD and SEC run on parsed folder source data (J-book Excel exhibits, FY2025 AFR, DODIG-2026-032), with live USAspending fallback for 26 more. Spans the entire FM lifecycle — budget formulation through audit remediation — with an AI/ML workbench that runs models locally on the selected agency's data, a 3-provider AI FM Analyst chain (Gemini → Groq → Claude), document analysis, and end-to-end data provenance down to file path and parser status.
28-Agency FM Portal
Any-agency switching — DoD & SEC folder data + 26 agencies via live USAspending fallback
Full FM Lifecycle
Budget, Accounting, Audit, Finance Ops, Internal Controls, Contracts & Acquisition modules
AI / ML Workbench
Models run locally on selected agency data — forecasting, anomaly detection, classification
AI FM Analyst
Gemini → Groq → Claude 3-provider chain grounded on the active agency's data slice
Document Analysis
J-book xlsx exhibits, FY2025 AFR + DODIG-2026-032 PDFs parsed into audit solutions
Data Provenance Layer
Folder source data · USAspending API · Treasury FiscalData · DuckDB lakehouse — lineage on every page
FedFin — Federal Finance Intelligence
Local-first budget, audit & FinOps prototype · fedfindemo.vercel.app
A local-first operational portal where the repository's own source data is the system of record: 48 files scanned at request time, 31,425 budget line observations parsed from DoD Excel exhibits, and 17,078 USAspending award rows normalized into vendor, NAICS, object-class, and geography analytics. Every dashboard number is a traceable analytic product — source path, parser status, timestamp, applied filter — with Budget Lab, Audit Readiness, FinOps Monitor, and a source-grounded AI Analyst that cites the same records shown on screen.
Local-First Lakehouse
48 source files scanned at request time — system of record is the repo itself
31,425 Budget Lines
FY2025–FY2027 request/enacted/actual/spend-plan parsed from DoD Excel exhibits
17,078 Award Rows
USAspending prime/subaward extracts power vendor, NAICS, object-class, geography views
Audit Readiness Module
Material weakness themes, evidence aging, and corrective-action tracking from parsed AFR/IG docs
Source-Grounded AI Analyst
AI prompts cite the same finding, anomaly, or variance record shown on the dashboard
Policy Architecture
OMB A-11, DoD FMR, A-123, GAO Green Book mapped to each lifecycle stage with KPI lineage
LearnAnything AI — Study Plan Engine
Multi-model AI learning planner · learnuseless.vercel.app
An AI study-plan creator whose planner agent turns any learning goal into a 90-day plan with daily actions, projects, quizzes, checkpoints, and gap analysis. Users choose from a 10-model dropdown spanning three providers — Gemini 3.5 Flash / 3.1 Flash-Lite / 2.5 Flash, Groq Compound + Llama 4 Scout / 3.3 70B / 3.1 8B, and Claude Sonnet 4.6 / Opus 4.6 / Haiku 4.5 — with provider-aware chaining, saved plans, progress tracking, and graceful local fallback.
Planner Agent
Turns any goal into a 90-day plan with daily actions, projects, quizzes, and checkpoints
10-Model Dropdown
Gemini 3.5/3.1/2.5, Groq Compound + 3 Llama, Claude Sonnet/Opus/Haiku — user-selectable
Multi-Model Chains
Provider-aware chaining with local fallback when no API/database is configured
Saved Plans & Tracking
Persistent plans with progress tracking, weekly milestones, and resume-where-you-left-off
Gap Analysis
Planner identifies skill gaps against the goal and adjusts the weekly load (10h default)
Plan → Study → Track
Single workflow from goal entry to readable plan to daily execution console
CogniBloom — AI Learning Companion
K-12 AI tutor, notes & gamified growth · cognibloom.vercel.app
A personal AI tutor for K-12 learning that combines subject-aware AI chat (44+ chats), structured notes (AMC 8 / Mathcounts prep, 29 logged), and AI-generated quizzes and flashcards — now expanded with a Daily Planner, an Investment Reflection track for financial-literacy journaling, and a public Learning Chronicle of titled, narrated daily-reflection diary entries. Wrapped in a gamified progression system now at Level 5 'Rising Star' with 9 badges earned. Designed for and battle-tested by a real daily user, proving the full product loop: ship, observe, iterate.
Personal AI Tutor
K-12 tutoring sessions with subject-aware AI chat — 44+ AI chats logged
Notes, Quizzes, Flashcards
29 structured study notes (AMC 8 / Mathcounts) with AI-generated quizzes and decks
Gamified Progression
XP, levels, and 9 badges earned — now Level 5 "Rising Star"
Learning Chronicle
Published daily-reflection diary entries with titled, narrated learning recaps
Investment Reflection
New: daily financial-literacy journaling alongside academic notes
Daily Planner + Kid-Safe
New planner view on top of curated content, safe AI boundaries, distraction-free dashboard
PeterClaude
Claude API Chat Interface · peterclaude.vercel.app
A custom Anthropic Claude-powered AI chat application built directly on the Claude API. Features session-aware conversation management, context window optimization, and a production-grade UI with secure server-side API routing via Vercel serverless functions.
Claude API Integration
Direct Anthropic API with multi-turn dialogue and session history
Context Management
Session-aware history with context window optimization
Secure API Routing
Server-side key protection via Vercel serverless functions
Low-Latency Design
Real-time message delivery with typing indicators
TypeScript-First
Typed responses, error handling, production-grade patterns
Clean Chat UI
Responsive interface with message formatting and timestamps
AXIOM — AI Engineering Sandbox
Production AI patterns & lifecycle · fedaxiom.vercel.app
A complete AI engineering practice sandbox architected around a 10-stage full lifecycle from goal definition to production monitoring. Distills agentic patterns including ReAct loops, RAG pipelines, multi-agent orchestration, evaluation frameworks, and guardrails into hands-on interactive tooling.
10-Stage AI Lifecycle
Define Goal → Deploy & Scale — full interactive pipeline
AI Studio
Hands-on model chains and production pattern experiments
Code Intelligence
Code analysis tooling for AI engineering workflows
Live Feed
Real-time AI domain content aggregation
Knowledge Base
AI/ML reference covering RAG, agents, evaluation, guardrails
Career & Notebook
Structured AI engineering learning tracker and notes
FedFMMatter — Federal FM AI Analyst
Production AI for federal financial management · fedfm.vercel.app
A production-grade AI analyst platform for federal financial management professionals. Covers Budget & Programs, Audit & Assurance, Accounting & Execution, and Contracts & Acquisition. Features RAG-powered Q&A with pgvector semantic search and a multi-model AI waterfall for 99%+ uptime.
Budget & Programs
PB justifications, appropriations, mandatory/discretionary splits
Audit & Assurance
Findings tracker, CAP milestones, FY2028 audit readiness
Accounting & Execution
Obligation rates, ULO analysis, TAFS reconciliation
Contracts & Acquisition
FAR/DFARS compliance, EVM variance, cost proposal review
RAG Knowledge Base
pgvector semantic search with citation-backed AI responses
4-Model AI Waterfall
Gemini 2.5 → Groq Llama 3.3 → Llama 3.1 → Gemini 2.0
MyThing — Personal AI Platform
Secure knowledge management & AI agents · shangthing.vercel.app
Engineered a secure AI-enabled knowledge management platform with authenticated private notes, structured tagging, and persistent database architecture. Features 4 specialized AI agents and automated tech news aggregation. Built with 102 files and 6,300+ lines of TypeScript.
Gemini 2.5 AI
AI chat with full context, live search, and RAG over notes
Tech News Feed
Python scraper + GitHub Actions ingesting RSS feeds daily
Daily Notes + AI
Journal with AI-generated headline, themes, and sentiment
NextAuth v5 Auth
Google OAuth + passphrase with private/public route protection
Fed Finance Q&A
AI knowledge base over OMB circulars and DoD policy
Full-Stack Platform
Next.js 15, React 19, Prisma ORM, Neon PostgreSQL, Vercel
ML & AI Knowledge Hub
Interactive ML algorithm reference · mlaithing.vercel.app
Built an interactive machine learning reference platform covering 8+ algorithms with evaluation metric comparison frameworks. Designed structured model benchmarking logic and production AI agent architecture guidance emphasizing interpretability, scalability, and governance.
8+ ML Algorithms
Logistic Regression, SVM, Random Forest, SGD, KNN, Naive Bayes, K-Means, GMM
Evaluation Metrics
Accuracy, Precision, Recall, F1, AUC-ROC, Confusion Matrix
Clustering Techniques
K-Means and GMM with real-world DoD/federal use cases
AI Agents Framework
Production ReAct pattern with tool calling and agentic workflows
Working Examples
Complete Python/scikit-learn implementations with best practices
Interactive Design
Next.js 15 UI with code highlighting and algorithm comparisons
Palantir Learning Platform
Self-evolving Foundry/AIP knowledge base · palantirlearning.vercel.app
Architected and deployed a self-evolving full-stack knowledge platform covering 11 Palantir platform sections. Features automated Python 3.12 web scraping pipelines via GitHub Actions for daily news aggregation and AI-generated executive intelligence briefings.
11 Platform Sections
Foundry, Ontology, AIP, Apollo, Workshop, Quiver, Slate, and more
Gemini 2.5 + Search
Agentic AI with live Google Search grounding across all sections
Automated News Scraping
Python 3.12 pipelines via GitHub Actions for daily Palantir news
AI Executive Briefings
Geopolitical and contract signal analysis with automated summaries
Persistent Storage
Neon PostgreSQL + Prisma ORM for notes and knowledge pages
Self-Evolving Platform
Continuously updated knowledge base with AI-driven content discovery
AI Governance Intelligence
Multi-agent AI policy platform · aimlgov.vercel.app
Multi-agent AI console for risk analysis, compliance briefing, and policy research. Features live news intelligence from 25+ sources scraped every 6 hours, RAG-powered chat over a document library, and an AI visual aid generator that converts documents into diagrams.
Multi-Agent AI Console
Risk analysis, compliance briefing, and policy research agents
Live News Intelligence
25+ sources scraped every 6h — NIST, EU Digital, FTC, arXiv
PDF Notes & Knowledge
Upload docs, auto-extract text, generate AI summaries on Vercel CDN
RAG-Powered Chat
pgvector semantic Q&A over document library with citation context
AI Visual Aid Generator
Converts documents into risk matrices, timelines, and diagrams
3-Model AI Fallback
Gemini 2.5 Flash → Llama 3.3 70B → Llama 3.1 8B for 99%+ uptime
Federal Financial Management
FY2027 DoD Budget Inside Analysis
NEWPortfolio-manager reference for the $1.45T President's Budget request — topline bimodal architecture ($1.1T discretionary + $350B mandatory), procurement deep-dive across 19 appropriation titles, MAC munitions 18-program analysis, AI Arsenal ($58.5B) vs Drone Dominance ($53.6B), Advana→War Data Platform trifurcation, and execution risk register. Built inside FedFMMatter as a domain-native analytical product.
DoD Audit Readiness Intelligence System
NEWFY2025 DODIG-2026-032 audit decoded: all 26 material weaknesses mapped by remediation theme (Systems/IT, Asset Valuation, Liabilities, Revenue/Budget, Oversight, High-Value Programs), Advana capability matrix covering 17 of 26 MWs, dollar-at-risk log-scale analysis ($859B unsupported adjustments), FY2028 clean opinion roadmap with 45-day DepSec reporting cadence, USMC clean-audit playbook, and 10 AI/ML remediation plays including anomaly detection, graph reconciliation, and agentic CAP drafting.
Live Federal Obligation Execution Tracker
NEWAutomated obligation analytics platform with GitHub Actions pipeline pulling DoD data weekly from USASpending.gov API — agency obligations, federal account breakdowns, top contract awards, object-class trends — then chunking and embedding into pgvector for AI-powered Q&A. Supports TAFS period-of-availability analysis, ULO aging buckets, cancellation risk prediction, SF-132/SF-133 comparison, and ADA/FFMIA compliance red-flag detection.
Data Science & Analytics
AI Agent Lifecycle Engineering Framework
NEWInteractive 10-stage production AI engineering pipeline — Define Goal → Select Model → Build Knowledge (RAG) → Design Tools (MCP/function schemas) → Agent Loop (ReAct: Thought→Action→Observation) → Add Memory → Orchestrate (multi-agent coordinator/supervisor/A2A) → Evaluate (LLM-as-Judge, golden set) → Guardrails → Deploy & Scale (canary rollout, CI/CD, observability). Built in AXIOM as a hands-on engineering reference grounded in Google 5-Day AI Agents Intensive patterns.
Journal Voucher Anomaly Detection & Graph Reconciliation
NEWML pipeline applying isolation forests and autoencoders to surface the 5,665+ unsupported DoD accounting adjustments ($859B, FY2025) for audit triage before quarter close. Graph database with entity resolution for automated buyer/seller intragovernmental transaction matching — flags unmatched pairs for human review. Derived from production AI/ML remediation plays mapped to DoD DODIG-2026-032 material weaknesses 18 and 19.
DoD Spending Semantic ETL & RAG Pipeline
NEWEnd-to-end data engineering pipeline: GitHub Actions cron pulls live DoD obligation data from USASpending.gov API (agency totals, federal accounts, budget functions, top contracts) every Sunday → chunked and embedded into Neon pgvector → exposed via RAG-powered AI chat for natural-language obligation analysis. Combines time-series XGBoost cancellation-risk modeling with USSGL TAFS period-of-availability tracking and ADA anti-deficiency risk flagging.
Get In Touch
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