Building distributed backends where correctness is enforced, failures are compensated automatically, and scale is horizontal by default.
I’m Ritesh Khamitkar — a distributed systems and blockchain architect with 4+ years shipping production infrastructure at Jio Platforms, two funded US/Singapore-based startups, and solo. My work sits at the rare intersection of three domains: distributed backend systems, multi-chain DeFi infrastructure, and production agentic AI.
I design around CAP theorem trade-offs — strong consistency where money moves on-chain, eventual where throughput demands it. Every service I ship uses saga orchestration for distributed transactions, idempotency keys at every execution boundary, and the outbox pattern for guaranteed at-least-once delivery. CQRS separates read and write paths before they become bottlenecks. When failures hit, circuit breakers trip, compensating transactions roll back cleanly, and self-healing reconciliation daemons resolve state drift without waking anyone at 3am.
On-chain: raw Bitcoin PSBT construction → direct mempool broadcast, Solidity escrows with keccak256 commit-reveal on Base L2, gasless EVM/Solana paymasters. On the AI side: multi-agent pipelines on Vertex AI with 4× p95 latency improvements through async parallelization, Firestore caching, and connection pooling. The terminal below is live proof — not slides.