Xiaobing (Peter) Shang
CDFM · MBA
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.
Professional Summary
Senior Federal Financial Management professional specializing in financial management, budgeting, enterprise analytics, and internal controls. Extensive CFO-level advisory experience supporting $300B+ portfolios. Expertise spans financial governance, reconciliation, cost modeling, risk analysis, technology adoption, and systems modernization.
Core Competencies
Federal Financial Management & Governance
Financial Reporting & Compliance Oversight
Budget Formulation & Execution Strategy
Payroll & Workforce Cost Modeling
Financial Systems & GL Integration
Contract Oversight (COR)
Congressional & OMB Financial Reporting
Advanced Data Analytics & Dashboards
Financial Statement & Ratio Analysis
Capital Budgeting & DCF Analysis
Quantitative Modeling & Forecasting
Professional Experience
Portfolio Manager - Analytics & Reconciliation
Office of the Secretary of Defense (Comptroller), Department of Defense
Pentagon, DC | GS-0560-15
Lead enterprise financial analytics portfolio supporting senior leadership. Oversee multidisciplinary team delivering CFO decision-support tools using ADVANA platform.
- ▸Directed integration of 20 general ledgers into centralized execution reporting covering $338B in obligations/expenditures and $200B in accounts receivable, payable, revenue, expenses
- ▸Developed Department-wide Spend Plan Module aligning planned funding with execution outcomes
- ▸Designed payroll and workforce liability forecasting models
- ▸Established financial governance metrics and reconciliation controls improving audit traceability
- ▸Provide executive-level variance, trend, and risk analysis for senior leadership decision-making
Senior Budget Analyst
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
Department of Defense – Office of Inspector General
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
Python (Pandas, NumPy), SQL, R, Advanced Excel (VBA), Tableau, Power BI, Qlik, Databricks, Amazon S3, Financial Data Modeling, ETL Automation, Dashboard Development, Data Visualization, Statistical & Predictive Analysis
Technology & Systems
Next.js 15, React 19, TypeScript, Prisma ORM, PostgreSQL, NextAuth v5, Gemini 2.5 AI, Vercel, GitHub Actions · Machine Learning, Agentic AI, RAG, LLM Prompting · Financial Systems Integration, Cloud Computing (AWS), Data Engineering & Automation, Cybersecurity & System Controls, Full-Stack Development
Education
Master of Data Science
Saint Peter's University
2025
M.S. Digital Forensics & Cyber Investigation
University of Maryland Global Campus
2023
M.S. Cybersecurity Technology
University of Maryland Global Campus
2022
MBA
University of Phoenix
2009
B.S. Accounting
University of Maryland University College
2010
Training & Certifications
Certified Defense Financial Manager (CDFM)
DoD Financial Management Level III
IBM Data Science Professional Certificate
DAWIA Financial Management Level II (Acquisition)
George Washington University Data Analytics Boot Camp
5-Day AI Agents Intensive Course with Google
Palantir: Foundry & AIP Builder Foundations
Palantir: Deep Dive: Creating Your First Ontology
Palantir: Speedrun: Data Science Fundamentals
Palantir: Speedrun: Your First AIP Workflow
Portfolio & Projects
Real-world applications in federal financial management, AI engineering, and data science.
MyThing — Personal Knowledge Platform
shangthing.vercel.app · Full-stack AI-powered web application
A production-grade personal knowledge management system built entirely from scratch — 102 files, 6,300+ lines of TypeScript. Features 4 specialized AI agents (Portfolio, Tech Trends, DoD Policy, Notes), automated tech news aggregation with GitHub Actions, AI-analyzed daily journaling, federal finance Q&A, and full portfolio showcase. Architected, designed, and deployed end-to-end with Groq fallback for enhanced reliability.
Gemini 2.5 AI
AI chat agent with Peter's full context, live search, and RAG over personal notes
Tech News Feed
Automated Python scraper with GitHub Actions ingesting RSS feeds daily via AI summaries
Daily Notes + AI
Personal journal with AI analysis — headline, key ideas, action items, sentiment, themes
NextAuth v5 Auth
Google OAuth + passphrase login with private/public route middleware protection
Fed Finance Q&A
AI knowledge base over federal financial regulations, OMB circulars, DoD policy
Full-Stack Platform
Next.js 15, React 19, Prisma ORM, Neon PostgreSQL, Vercel Edge deployment
Tech Stack
ML AI Knowledge Hub
mlaithing.vercel.app · Interactive machine learning reference platform
Comprehensive machine learning reference platform featuring 8+ production-ready algorithms with complete implementations, evaluation metrics comparison frameworks, clustering techniques (K-Means, GMM), and enterprise AI agents architecture guidance. Every algorithm includes real-world DoD/federal use cases, advantages/disadvantages analysis, and working Python examples with scikit-learn. Built to demonstrate ML systems engineering expertise and enterprise deployment readiness.
8+ ML Algorithms
Production-ready implementations: Logistic Regression, SVM, Random Forest, SGD, KNN, Naive Bayes, K-Means, GMM
Evaluation Metrics
Comprehensive guide: Accuracy, Precision, Recall, F1-Score, AUC-ROC, Confusion Matrix analysis
Clustering Techniques
K-Means and Gaussian Mixture Models with real-world DoD/federal use cases
AI Agents Framework
Production architecture with ReAct pattern, tool calling, and agentic workflow design
Working Examples
Complete Python implementations with scikit-learn, evaluation code, and best practices
Interactive Design
Next.js 15, React 19, responsive UI with code highlighting and algorithm comparisons
Tech Stack
PalantirLearning — Expert Knowledge Platform
palantirlearning.vercel.app · Self-evolving full-stack knowledge platform
Self-evolving full-stack knowledge platform with Gemini 2.5 AI assistant featuring live Google Search grounding across 11 comprehensive sections covering Foundry, Ontology, AIP, Apollo, and more. Implements Neon PostgreSQL with Prisma ORM for persistent storage, automated Python 3.12 web scraping pipelines via GitHub Actions for daily Palantir news aggregation, and AI-generated executive intelligence briefings with structured geopolitical and contract signal analysis. Demonstrates production LLM integration and scalable content intelligence architecture.
11 Platform Sections
Foundry, Ontology, AIP, Apollo, Pipeline Builder, Workshop, Quiver, Slate, Code Repositories, Contour, Monocle
Gemini 2.5 AI + Search
Agentic AI assistant with live Google Search grounding across all platform documentation
Automated News Scraping
Python 3.12 web scraping pipelines via GitHub Actions for daily Palantir news aggregation
AI Executive Briefings
Structured geopolitical and contract signal analysis with automated intelligence summaries
Persistent Storage
Neon PostgreSQL with Prisma ORM for notes, knowledge pages, and learning progress
Self-Evolving Platform
Continuously updated knowledge base with AI-driven content organization and discovery
Tech Stack
AIGov Platform — AI Governance Intelligence
aimlgov.vercel.app · Full-stack AI-powered governance platform
A production-grade AI governance intelligence platform built entirely from scratch — 12 serverless API functions, real-time news aggregation from 25+ sources, and multi-agent AI analysis. Features RAG-powered document Q&A, persistent PDF storage on Vercel CDN, automated GitHub Actions pipelines, and a 3-model AI chain (Gemini 2.5 Flash · Llama 3.3 70B · Groq) for reliability. Architected, designed, and deployed end-to-end on Vercel + Neon PostgreSQL with pgvector semantic search.
Multi-Agent AI Console
Specialized governance agents for risk analysis, compliance briefing, and policy research with structured reports
Live News Intelligence
Automated scraping of 25+ sources — NIST, EU Digital, FTC, Anthropic, arXiv — every 6h via GitHub Actions
PDF Notes & Knowledge Base
Upload governance documents, auto-extract text, generate AI summaries and visual aids, store on Vercel CDN
RAG-Powered Assistant
Retrieval-augmented AI chat over your document library with pgvector semantic search and citation context
AI Visual Aid Generator
Converts governance documents into risk matrices, timelines, process flows, and framework diagrams via SVG
3-Model AI Fallback Chain
Gemini 2.5 Flash → Llama 3.3 70B → Llama 3.1 8B with automatic failover for 99%+ uptime reliability
Tech Stack
Budget Matter — Federal Financial Analytics Portfolio
budgetmatter.github.io · DoD/Federal analytics showcase
Comprehensive federal financial transformation portfolio showcasing data-driven solutions for DoD budget execution, reconciliation automation, and enterprise analytics. Features interactive Tableau dashboards for federal spending analysis, Python-powered Excel automation tools, VBA-driven scenario modeling for $200M+ programs, and machine learning applications for workforce forecasting. Demonstrates cross-domain expertise in PPBE modernization, audit readiness (FIAR), CFO Act compliance, and full-stack data engineering for defense financial management.
Budget Execution Dashboards
Interactive Tableau visualizations tracking $338B DoD obligations, expenditures, and variance analysis across 20 general ledgers
Spend Plan Modeling
Scenario-driven Excel/VBA tools for self-balancing budget execution with real-time forecasting and risk assessment
Python Automation Suite
ETL pipelines combining Excel workbooks, data reconciliation scripts, and automated financial report generation
ML Workforce Analytics
Machine learning models for payroll forecasting, manpower planning, and retention analysis using scikit-learn
Audit & Compliance Tools
FIAR-ready reconciliation controls, abnormal balance detection ($10M+ identified), and CFO Act reporting automation
Federal Spending Analysis
Multi-year trend analysis, Congressional budget tracking, and OMB A-11 compliance visualizations with D3.js
Tech Stack
Federal Financial Management
Data Science & Analytics
ML AI Knowledge Hub
NEWComprehensive machine learning reference with 8+ algorithms (Logistic Regression, SVM, Random Forest, SGD, KNN, Naive Bayes, K-Means, GMM), evaluation metrics, clustering techniques, and production AI agents framework. Real-world DoD/federal use cases.
Get In Touch
Have a question or want to work together? Send me a message and I'll get back to you as soon as possible.