Full Stack Engineer building production AI systems that serve real businesses at scale.
At Modelia, I work across the full AI product platform — generative image engine, merchant-facing app, Studio, and internal tools. Previously built AI-powered hiring automation at Asynq, a university LMS serving 5K+ learners at CCS University, and defence infrastructure at Bharat Electronics Limited.
I build and ship AI systems that serve real businesses. With experience spanning defence infrastructure, AI-powered hiring automation, and generative AI platforms, I focus on systems that stay alive at 3am and code the next engineer can read.
My focus is on building systems that are not just functional, but maintainable, scalable, and production-ready.
Production APIs, microservices, and modern frontends using TypeScript, Node.js, React, Remix, tRPC, Prisma, and PostgreSQL.
AI & Generative Systems
Building production Generative AI and Agentic AI systems — from image generation pipelines to autonomous hiring agents with LLM integration.
Platform Engineering
End-to-end product development across AI engines, merchant-facing apps, creative tools, and internal systems. From architecture to production deployment.
Full Stack Engineer across Modelia's AI product platform — the generative image engine, merchant-facing app, Studio creative tool, and internal systems. Serving hundreds of active merchants generating thousands of AI images daily.
›Led re-architecture of legacy platform into modular, production-grade system within 35 days — reduced client escalations by over 95%, drove significant revenue growth, and accelerated merchant acquisition across a 15+ person engineering team
›Designed and built secure media delivery infrastructure, cross-platform data synchronization, and real-time event-driven systems for the AI image generation pipeline
›Leading marketplace expansion initiative — integrating enterprise SSO, fulfillment APIs, and metered billing for new distribution channels
›Established production monitoring, structured logging, and security hardening workflows across the platform
›Unified product experience across multiple surfaces, aligning design systems and compliance standards
Built core AI-powered hiring automation platform from ground up — intelligent candidate shortlisting, resume analysis at scale, and an autonomous Agentic AI interviewer.
›Designed and implemented structured candidate scoring and ranking engine that analyzes resumes in bulk and surfaces best-fit profiles, significantly reducing manual recruiter screening time
›Built bulk resume upload and concurrent analysis pipeline using async job queues and Redis caching, handling hundreds of resumes per batch
›Developed Agentic AI interviewer — autonomous conversational system conducting structured candidate interviews with context-aware follow-up questions via LLM integration
›Architected full backend in TypeScript + tRPC with end-to-end type safety, async processing, and caching layers for sub-second API responses
›Designed every system with recruiter-first UX — ensuring AI-powered tools were intuitive for non-technical hiring teams