I build real-time systems, AI memory infrastructure, trading simulators, dashboards, and ML-backed platforms.
I am building my open-source track across developer tooling, AI infrastructure, data systems, documentation, and creative coding projects.
| Area | Repositories and contribution targets |
|---|---|
| Developer tooling | Google Gemini CLI, Vitest, OpenTelemetry JS |
| AI and agents | Pydantic AI, Engram, CDLI MCP Server |
| Web and frameworks | Svelte, Processing Website, Zulip |
| Data and infrastructure | CDLI, OpenTelemetry, SENTINEL |
Selected contributions
- Contributed 10 merge requests to CDLI, with 5 merged, improving repository tooling and data-processing workflows.
- Contributed 4+ pull requests to Google Gemini CLI, including WSL shell execution routing fixes and trusted tool configuration work.
- Fixed a Processing website UI bug around incorrect search placeholder behavior.
- Currently working through public PRs and forks across OpenTelemetry JS, Vitest, Svelte, Pydantic AI, Zulip, and other tooling repos.
Languages
Backend and APIs
Frontend
AI / ML
Databases, Cloud, and Tools
| Project | Focus | Stack |
|---|---|---|
| Engram | Self-hostable AI memory layer that retrieves, injects, extracts, and syncs durable user context across LLM clients. Live demo | FastAPI, pgvector, MCP, Next.js, TypeScript |
| SENTINEL | Multi-agent market microstructure simulator for liquidity-crisis prediction, large-order detection, and live order-book analytics. Live demo | Python, FastAPI, Next.js, WebSockets, XGBoost, scikit-learn |
| EquityFlow | Real-time paper-trading simulator for stocks, F&O, and commodities with broker data, portfolio tracking, and trading-desk controls. Live demo | Next.js, React, TypeScript, FastAPI, Python, broker APIs |
| Parkinson's Disease Screening | Transformer-based clinical classification pipeline trained on 42k+ patient records with a Flask inference API. | PyTorch, Transformers, LightGBM, Flask, CUDA |
| Occasio | Event-management and booking platform with publishing, payments, QR tickets, check-in, analytics, teams, and certificates. Live demo | React, Vite, Node.js, Express, Prisma, PostgreSQL, Redis |
| CDLI MCP Server | MCP server for searching and working with CDLI artifact data through agent-compatible tools. | TypeScript, MCP, APIs |
- AI memory systems, LLM tool calling, MCP clients, and RAG pipelines.
- Real-time trading systems, market microstructure, and low-latency dashboards.
- Distributed systems, event-driven architecture, queues, and production-style observability.
- Open-source CLI tooling, developer experience, and infrastructure workflows.