Lakshay Meghlan

I’m a full-stack AI engineer focused on shipping GenAI features in production—especially RAG and AI agent workflows—inside scalable backend systems. At TechChefz, I architected microservices and REST APIs and built frontend applications using Node.js, NestJS, TypeScript, and React.

I optimize for measurable performance and reliability. I reduced P95 API latency from 800ms to 520ms and scaled services to 50K+ daily requests, while improving query and async processing performance (Redis caching, BullMQ job queues, and MongoDB re-indexing) to deliver faster responses at 99.9% uptime.

Security and integrations are core to how I work. I designed JWT, OAuth2, and RBAC authentication across 5+ services with “zero auth-related security breaches,” and I integrated third-party systems like Razorpay, Google DV360, Magento, and Strapi—cutting manual workflow overhead by 3+ hours/day and improving payment success rate by 25%.

I also enjoy building developer-facing tools and multi-agent systems. I’ve created an open-source, language-agnostic codebase scoring CLI (npm) that generates AI guidance files so agents follow modern system-design standards, and I built multi-agent RAG pipelines and discovery platforms that ingest data, rank results with semantic search, and return responses in real time.