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Chaitanaya Srivastava

@chaitanayasrivastava

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ML engineer-in-training specializing in production RAG and agentic AI systems.

India

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What I'm looking for

I want to work on production-ready ML/AI products—especially RAG and agentic systems—where I can own end-to-end delivery, build reliable APIs and dashboards, and iterate fast with measurable impact.

I’m a second-year CS (Data Science) undergraduate with production ML experience, focused on shipping end-to-end AI systems. I’ve deployed a live RAG-based AI chatbot handling over 100 customer queries per month, and built and shipped four projects across NLP, computer vision, agentic AI, and full-stack ML deployment.

In my freelance role as an ML Engineer, I architected a production RAG pipeline with vector search and PostgreSQL trigram fuzzy matching for ~95% retrieval accuracy. I also built an always-on Instagram DM response system using GPT-4.1-mini and n8n agentic workflows, cutting reply time from 20 minutes to under 30 seconds—then hosted it on a VPS with webhook integration for concurrent sessions.

Experience

Work history, roles, and key accomplishments

ML Engineer (Freelance)

Lakmé Salon

Feb 2026 - Mar 2026 (1 month)

Architected a production RAG pipeline using vector search and PostgreSQL trigram fuzzy matching, achieving ~95% retrieval accuracy across 50+ service and pricing queries. Built an around-the-clock Instagram DM responder with GPT-4.1-mini and n8n agentic workflows, reducing reply time from 20 minutes to under 30 seconds while handling 100+ queries per month.

Vector Search PostgreSQL Trigram Fuzzy Matching GPT 4.1 Instagram DM Automation Webhooks Real Time Session State Retrieval Evaluation