Hire Tia S. - RAG Engineer

About tia

I build AI systems that actually work in the real world, not just in notebooks. My focus is on agentic AI and LLM-powered applications, designing multi-agent workflows, RAG pipelines, and intelligent decision systems that operate at scale in production environments. Currently, I'm shipping AI that automates financial underwriting for merchants, processing millions of decisions with sub-60s latency on Azure + Databricks. Before that, I spent time at AI4Bharat (IIT Madras) contributing to multilingual NLP platforms used across 20+ Indic languages, working alongside researchers, linguists, and engineers to build tools that bring AI closer to India's linguistic diversity. What I care about most is the intersection of reliability and intelligence, building AI that doesn't just perform well in demos but holds up under real-world constraints: regulated environments, audit trails, edge cases, and all. My stack revolves around Python, LangGraph, LangChain, RAG, MCP, PyTorch, and cloud infrastructure (Azure, Databricks), but I pick tools based on the problem, not the other way around. A few things I'm proud of: Global Top-50, Google Solution Challenge 2022 (4,000+ teams) APAC Finalist, Generation Google Scholarship 2022 (top 0.001% of applicants) 9.29 CGPA | 7th Rank university-wide, MAIT Delhi I'm always up for conversations about agentic systems, LLM architecture, or just what's breaking in production this week.

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