Peter Shang's Digital Space
Building intelligent systems at the intersection of federal finance, AI, and full-stack engineering.
Latest Tech Pulse
European Commission's Metsola Overrides MEPs to Force Through Chat Control
Article URL: https://www.politico.eu/article/president-vs-parliament-roberta-metsola-overrides-meps-bid-force-child-abuse-law/ Comments URL: https://news.ycombinator.com/item?id=48657675 Points: 17 # Comments: 7
How to burst the AI bubble: Strike at its roots
Article URL: https://arstechnica.com/gadgets/2026/06/how-to-burst-the-ai-bubble-strike-at-its-roots/ Comments URL: https://news.ycombinator.com/item?id=48657518 Points: 9 # Comments: 2
DoJ Seizes Huione Cloud Account Tied to Cyber Scam Money Laundering
The U.S. Department of Justice (DoJ) on Tuesday announced the seizure of a cloud computing account put to use by subsidiaries of Cambodia-based corporate conglomerate HuiOne Group, as the Treasury unveiled fresh sanctions against nine individuals and 26 entities linked to Prince Group. "These subsi
Cisco Unified CM Flaw Exploited After PoC Reveals File-Write Path to Root
Threat actors have begun to exploit a recently disclosed critical security flaw impacting Cisco Unified Communications Manager (Unified CM) and Unified Communications Manager Session Management Edition (Unified CM SME). The vulnerability, tracked as CVE-2026-20230 (CVSS score: 8.6), is a case of im
Weight-Space Geometry of Offline Reasoning Training
arXiv:2606.23740v1 Announce Type: new Abstract: Offline reinforcement-learning losses (RFT, RIFT, DFT, Offline GRPO, DPO) are widely used to distill reasoning from large teachers into smaller students, and are typically compared on downstream accuracy alone. We ask whether they are mechanistically
Systematic Exploration of 4-Expert Heterogeneous Mixture-of-Experts via Automated Pipeline Search
arXiv:2606.23739v1 Announce Type: new Abstract: We present an automated large-scale search pipeline for heterogeneous 4-Expert Mixture-of-Experts (MoE4) architectures within the LEMUR neural network dataset ecosystem. Building on a hand-crafted heterogeneous MoE reference model, we replace manual d
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$338B Portfolio
DoD budget execution, strategic planning & Congressional justifications at the Pentagon
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2 production full-stack apps · 6,300 lines · AI-powered at zero cost
5 Advanced Degrees
Data Science · Cybersecurity · Cyber Forensics · MBA · Accounting
15+ Yrs Federal
Pentagon · DoD OIG · U.S. Army — mission-critical leadership
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Full-Stack Dev, AI, ML (3 Apps)
Built 2 production apps (6,300+ lines) in 24 hrs — MyThing platform & interactive resume, and completed the third production app on AI ML knowledge hub – ML & AI thing
Google AI Agents Intensive
Completed advanced AI agents course — agentic workflows, tool calling, prompt engineering
Master of Data Science
Saint Peter's University — Capstone: Predictive analytics for federal budget forecasting
IBM Data Science Certificates
Real-world business problem-solving — Python, SQL, machine learning, data visualization, and applied analytics for real-world business problem-solving
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ML AI Knowledge Hub (mlaithing.vercel.app)
Comprehensive machine learning reference with 8+ algorithms (Logistic Regression, SVM, Random Forest, SGD, KNN, Naive Bayes, K-Means, GMM), complete evaluation metrics guide, clustering techniques, and production AI agents framework with ReAct pattern. Real-world DoD/federal use cases throughout.
AI-Powered Portfolio (petershang.vercel.app)
Full-stack portfolio with agentic Gemini 2.5 AI assistant using Google Search grounding, PostgreSQL, Gmail SMTP notifications, and dark/light theme. Built with Next.js 15, React 19, TypeScript.
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