Software Engineer
- Building AI agents and data pipelines on the Nexus Squad (Agentic AI & Workflow Automation)
Software engineer at IBM. Into inference, interpretability, post-training, safety, optimization, multi-agent orchestration, and infra.
The bars are what I'm into lately: each run samples one. Edit the prompt and press Enter to try your own; drag to rotate.
A real-time AI technical interviewer you talk to. It listens, keeps track of the conversation, and answers out loud.
A GitHub App that records a video of your UI change actually working and posts it on the pull request.
An 8-week workshop on LLM inference: KV caching, FlashAttention, batching, quantization, and serving, with lecture notes and Jupyter labs.
Regulatory intelligence for biotech: RAG over 1,000+ FDA documents, shaped by 15+ customer discovery interviews.
ML news aggregator that scrapes arXiv, Hugging Face, RSS, and X every 6 hours, dedupes, and summarizes locally with Ollama.
Training dashboard over Hevy and WHOOP data with ACWR, plateau detection, and local-LLM coaching.
Real-time ASL alphabet recognition from 21 MediaPipe hand landmarks, classifying 26 letters with TensorFlow.
All 35 opcodes in C++, a 64×32 framebuffer at 60 Hz via SDL2, with register and memory debug tools.
Coursework: LLMs, Software Engineering, Machine Learning, Algorithms, Data Management, Operating Systems, Causal Inference