Mohit k.

I build backend systems that handle scale without breaking — event-driven architectures on Node.js and AWS, with Kafka powering real-time data pipelines, and Bedrock/LLM integration where AI adds real value (not just for buzzwords). 12+ years designing and shipping production backend systems for startups and enterprises. Recent focus: combining traditional backend engineering with AI-powered automation — the kind that actually reduces manual work, not just demos well. What I build: • Node.js backend systems — REST/GraphQL APIs, microservices, event-driven architecture, built for reliability under real production load • Kafka-based data pipelines — real-time event streaming, message queues, and async processing for systems that can't afford data loss or downtime • AWS infrastructure — Lambda, Step Functions, DynamoDB, S3, serverless architecture, CI/CD (AWS Certified Solutions Architect) • AI/LLM integration where it matters — AWS Bedrock, LangChain, RAG pipelines for document processing, summarization, and workflow automation Recent work: • Built an event-driven order processing pipeline using Node.js + Kafka + AWS Lambda, handling 10K events/day with sub-second latency • Migrated a monolithic backend to microservices on AWS, cutting deployment time by 20% and reducing downtime incidents • Integrated AWS Bedrock into an existing Node.js backend to automate document classification, replacing a manual review process and cutting turnaround time by 50% I write clean, maintainable code and communicate clearly on scope, timelines, and tradeoffs — no surprises mid-project. Tech stack: Node.js | Express/NestJS | AWS (Lambda, Kafka/MSK, DynamoDB, Step Functions, S3) | AWS Bedrock | LangChain | PostgreSQL/MongoDB | Docker | CI/CD