Work that delivered measurable outcomes
A curated record of engagements where deep engineering focus, collaboration, and pragmatic decision-making shipped meaningful results.
How I designed a containerized AI knowledge system combining graph and vector search, FastAPI, and MCP integrations — balancing pragmatism with deep learning about RAG systems.
How I engineered CI/CD automation, multi-chain deployments, and developer-first APIs to simplify blockchain primitives into easy-to-use services.
Forensic debugging and pragmatic problem-solving to fix foundational bugs and unblock a stalled team during the early, undocumented days of Solana development.
Rescuing a buggy React Native app by learning GraphQL on the fly, re-architecting caching strategies, and restoring reliability to the user experience.
Diagnosing and fixing a critical Web3 anti-pattern to de-risk a high-stakes NFT launch through a stateless, on-chain-first architecture.
Building a personal DeFi accounting and strategy analysis app through iterative design and a pivot to an event‑sourced architecture.