Anuraag Sakxena
Full Stack Engineer - Ai Ml @Kaya
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WORK HISTORY
Full Stack Engineer - Ai Ml @Kaya
Dallas, TX, US
EDUCATION
The University of Texas at Dallas
Master of Science - MS, Information Technology and Management
Vellore Institute of Technology
Bachelor of Technology - BTech, Computer Science and Engineering
ABOUT ANURAAG SAKXENA
Most full stack engineers treat AI as a feature to bolt on. I treat it as the architecture itself. Over 6.5 years across fintech, telecom, healthcare, and enterprise automation, I\'ve built systems where LLM orchestration, RAG pipelines, and multi-agent workflows aren\'t afterthoughts, they\'re the foundation everything else sits on. I work across the full vertical. On the frontend, I build Next.js interfaces that make complex AI workflows feel effortless. On the backend, I design FastAPI services that orchestrate multi-model pipelines and agentic LangGraph workflows with real async concurrency, not just wrapper scripts around API calls. On the data layer, I architect PostgreSQL schemas with pgvector that give AI systems actual memory and context, not just stateless prompt-response loops. The throughline across everything I build:\"automation isn\'t a toggle, it\'s the default.\" My toolkit spans Python, TypeScript, React, Next.js, FastAPI, Django, LangGraph, Docker, Kubernetes, AWS, and PostgreSQL, but what I care about more than any single tool is building systems where AI is a first-class architectural citizen, not something duct-taped onto a CRUD app. I\'m looking for my next opportunity as an AI Engineer, ML Engineer, or Full Stack Engineer where I can keep building AI-native systems from the ground up. I\'m especially drawn to teams that see AI as a core architectural decision, not a feature flag. Let\'s talk: a••••••••@gmail.com |+19•••••••30Portfolio: anuraagsakxena.com
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