Mugundhan User
@mugundhanuser
I build reliable AI pipelines and scalable full-stack systems.
What I'm looking for
I've built production-grade multi-agent AI systems, including a medical document triage platform with Agentic RAG, ChromaDB, FastAPI, Celery, Redis, and real-time processing visibility through WebSockets.
At Travelfika Corporation, I built and scaled APIs for real-time hotel, flight, and bus booking flows, integrating Hotelbeds, RedBus, Mondee, Razorpay, Stripe, and webhook-based event handling. I migrated legacy React applications to Next.js, improving page-load speed by approximately 40%, and optimized MongoDB queries to reduce API response times by 30–40%.
I've also built a voice-based AI screening agent and an AI content automation pipeline connecting Shopify with LLM-driven rewriting, keyword injection, interlinking, and structured JSON outputs.
I focus on reliability, observability, data integrity, and security-conscious architecture. I'm expanding into enterprise-scale financial systems engineering, including treasury and payments infrastructure.
Experience
Work history, roles, and key accomplishments
AI Engineer and Full-Stack Developer
Self Employed
Built production-grade AI systems including multi-agent pipelines, agentic RAG architectures, and LLM-integrated services. Designed fault-tolerant backend systems using FastAPI, Celery, Redis, and vector databases.
Full Stack Developer
Travelfika Corporation
Built and scaled REST APIs for real-time hotel, flight, and bus booking systems. Integrated third-party travel APIs and payment gateways, and migrated legacy React apps to Next.js for improved performance.
Education
Degrees, certifications, and relevant coursework
University of New South Wales
Bachelor of Science, Computer Science
2013 - 2016
Bachelor of Computer Science degree from the University of New South Wales from 2013 to 2016.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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