AI / ML Engineer | Stanford Code in Place Section Leader | Harvard CS50 Puzzle Day Winner
LinkedIn • GitHub • Portfolio • awaisamjad33151@gmail.com
Building robust multi-agent systems and deep learning models to solve complex real-world problems. Passionate about AI safety, agentic workflows, and pushing the boundaries of autonomous systems.
🎓 Section Leader (Mentor) @ Stanford Code in Place: Selected from 2,000+ global applicants to deliver Python instruction to an international student cohort. Mentored students through weekly sessions, code reviews, and personalized support.
🏆 Hackathon Competitor: Participated in 12 international hackathons across the AI/agentic space. Ranked 129th of 1,000+ teams in UC Berkeley CALICO, 1529th globally in Meta Hacker Cup.
| Project | What it does | Stack |
|---|---|---|
| Agent-Ready AI Agents with USDC |
Public adversarial benchmark for AI agents that executes real OWASP Top 10 attacks on an AMD MI300X, evaluates safety with Z3 SMT solvers, and generates GitHub PRs to fix vulnerabilities. | LangGraph, Python, TypeScript, FastAPI, Next.js, vLLM, ROCm, Qwen2.5, Z3 SMT Solver, Coinbase x402, MindsDB, Akash Network, Docker |
| kraken-alpha-agent IBM watsonx Hackathon |
Fully audited, autonomous xStocks trading agent featuring a deterministic execution engine, a live triple opt-in safety mechanism, and a public Vercel dashboard. | Python, FastAPI, SQLite, Jinja2, Kraken CLI, Featherless LLM API, TypeScript, HTML, Vercel |
| Agent-Max execute: AI Genesis |
Multi-agent M&A due diligence system where six specialized AI agents collaborate to analyze market data, parse financial documents, assess legal risk, and generate investment memos. | Python, FastAPI, HTML, CSS, VanillaJS, OpenAI Agents SDK, LangGraph, Band SDK, Docker |
| News Fact RAISE YOUR HACK |
AI-powered news platform that lets journalists monetize firsthand facts through USDC micropayments and allows AI agents to search, purchase, and cite verified sources. | Python, FastAPI, OpenAPI, HTML, CSS, JavaScript |
| Machine Learning Portfolio | Engineered 24+ end-to-end machine learning applications spanning classification, regression, and clustering problems, including Fraud Detection and Customer Churn. | Python, Jupyter Notebook, Scikit-learn, Pandas, NumPy |
| Deep Learning Portfolio | Built 11+ end-to-end deep learning applications spanning computer vision and NLP, including a Face Mask Detection CNN and an IMDB Movie Review Sentiment Analysis LSTM. | Python, TensorFlow, Keras, CNN, RNN, LSTM, ANN |
LLMs & Agents LangGraph LangChain OpenAI Agents SDK vLLM Qwen2.5 Featherless LLM API Z3 SMT Solver RAG
ML & Deep Learning TensorFlow Keras Scikit-Learn Pandas NumPy Matplotlib CNN RNN LSTM ANN
Languages & Web Python C++ TypeScript JavaScript Angular Django FastAPI Next.js HTML CSS
Cloud & Tools Docker Vercel Akash Network MindsDB MySQL SQL Git GitHub Jupyter Notebook
Actively looking for full-time AI/ML/Data Science roles.