Projects

Posted on Jun 10, 2023

Here are a few projects and experiments I’ve worked on. I’ll keep expanding this list over time.

Redistill case study

An extremely fast Redis-compatible key-value database focused on low-latency production workloads. In the published single-instance benchmark, it reached 9.07M operations per second with 0.479 ms p50 latency.

My role: I designed and built the entire system, including the database engine, Redis protocol support, persistence, operational controls, packaging, documentation, and performance work.

Why it matters: Redis-compatible systems are often used in the hot path. Redistill demonstrates what a focused, multi-core architecture can achieve while preserving compatibility with existing Redis clients.

Area: Databases, distributed systems, performance engineering

Read the case study · Visit the website · View the source

MemX case study

A local-first AI memory layer for engineers working across tools like Claude, Cursor, ChatGPT, and other agents.

My role: I designed and built the entire product, including its storage model, local AI pipeline, semantic retrieval, CLI, MCP server, and agent integrations.

Why it matters: AI tools lose context easily. MemX keeps summaries and atomic facts in a local SQLite store, then makes them available across agents through MCP.

Area: AI agents, local-first tools, developer experience

Read the case study · Read the technical article · View the source

Atlas

An open-source AI answer engine.

Why it matters: Answer engines are a practical way to explore retrieval, reasoning, and user-facing AI workflows without hiding the system behind a black box.

Area: Applied AI, search, answer generation

Mumbai AQI

A community-driven air-quality tracker and recommendation platform.

Why it matters: Useful civic software should make local data easier to understand and act on, especially when the data affects everyday decisions.

Area: Data platforms, public-interest software, recommendations

More experiments