> timeline

This is where my real git history starts. I worked through Haskell exercises first (49 commits, June through August), then switched to Rust in September and October. Both were small, structured exercise repos rather than applications — deliberate practice in two very different type systems before I started building anything of my own. A tiny local DSA notes repo rounds out the stretch.

I set up my GitHub profile repo in November, describing myself as an AI/ML engineer, web developer, and DevOps engineer — the first time I wrote that down anywhere. December brought my first commits into the DIC lab’s emotion-recognition work (Vid_dataset_Aug), and my first real team project: the programming club website, built with a classmate.

The busiest early stretch. I opened a string of DIC lab repos in quick succession — facial video processing, frame extraction, LLM-assisted annotation, training-data staging — pushing on multimodal emotion recognition research. In parallel I built Insightify, a competitor-analysis tool, with the Insightify-analysis org, and contributed briefly to a hackathon website for GDGC. April added a first pass at retrieval-augmented generation for education (Classroom RAG and smaller experiments).

May 2025 is my single biggest month so far — 243 commits, almost all of them Hiremantis, an AI-powered recruitment platform, going from nothing to a working app. Next.js 15, TypeScript, MongoDB Atlas, Tailwind. It stayed my main side project on and off for the next nine months.

A dense, collaborative stretch. I did a week-long team sprint on a legal-advice project (60 commits), started the LafleurTech transcription pipeline work, and joined the AISOC 2025 (AI Summer of Code) team behind TheAutisticAPI and a few smaller hackathon repos. July added SuneriCLI, a terminal assistant I built solo around the Gemini API. August brought the Full Stack Open coursework, the HackRx 6.0 hackathon, and Agent_kdg, a LangGraph dev-agent for 3rd-semester coursework.

Activity cooled off through the autumn, with smaller repos — Scheme and Lisp coursework, an Amazon ML hackathon entry, a NeMo Parakeet ASR component for the transcription pipeline. December was a short, focused push: patching the Open-Sora video-generation model for single-GPU support and optional tensornvme, then wrapping it in a GCP serving layer. My first real dive into infra-for-inference work.

January 2026 was my quietest month in two years — then at the end of February I started a personal knowledge-base practice that quickly became my most-committed-to repo ever. Alongside it: git-surgeon, a git-history-rewriting CLI I published on PyPI; flexoki-mcp-server, a theme-generation MCP server on npm; RLM-agent, an LLM-orchestration toolkit; and a handful of research repos on SLM steering, credit-risk interpretability, and a biomarker classifier benchmark. April added a sorting-algorithms coursework project and this site.