Peter Shang's Digital Space
Building intelligent systems at the intersection of federal finance, AI, and full-stack engineering.
Latest Tech Pulse
Show HN: Fostrom, an IoT Cloud Platform built for developers
Hey HN! Arjun and Sid here.Fostrom is an IoT Cloud Platform designed for developers to make it really easy to get started and scale fleets. We have Device SDKs (in Python, JS, Elixir, more coming soon), Typed Schemas, Per-Device Mailboxes, Programmable Actions, 4 Global Regions for lower-latency con
Three Former Google Engineers Indicted Over Trade Secret Transfers to Iran
Two former Google engineers and one of their husbands have been indicted in the U.S. for allegedly committing trade secret theft from the search giant and other tech firms and transferring the information to unauthorized locations, including Iran. Samaneh Ghandali, 41, and her husband Mohammadjavad
Reading the undocumented MEMS accelerometer on Apple Silicon MacBooks via iokit
Article URL: https://github.com/olvvier/apple-silicon-accelerometer Comments URL: https://news.ycombinator.com/item?id=47084000 Points: 42 # Comments: 17
AIdentifyAGE Ontology for Decision Support in Forensic Dental Age Assessment
arXiv:2602.16714v1 Announce Type: new Abstract: Age assessment is crucial in forensic and judicial decision-making, particularly in cases involving undocumented individuals and unaccompanied minors, where legal thresholds determine access to protection, healthcare, and judicial procedures. Dental a
MMCAformer: Macro-Micro Cross-Attention Transformer for Traffic Speed Prediction with Microscopic Connected Vehicle Driving Behavior
arXiv:2602.16730v1 Announce Type: new Abstract: Accurate speed prediction is crucial for proactive traffic management to enhance traffic efficiency and safety. Existing studies have primarily relied on aggregated, macroscopic traffic flow data to predict future traffic trends, whereas road traffic
A Few-Shot LLM Framework for Extreme Day Classification in Electricity Markets
arXiv:2602.16735v1 Announce Type: new Abstract: This paper proposes a few-shot classification framework based on Large Language Models (LLMs) to predict whether the next day will have spikes in real-time electricity prices. The approach aggregates system state information, including electricity dem
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$338B Portfolio
DoD budget execution, strategic planning & Congressional justifications at the Pentagon
24-Hour Build Sprint
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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