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vaibhav chhabraVC
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vaibhav chhabra

@vaibhavchhabra

AI/ML Computational Science Analyst building production LLM and RAG systems.

India
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What I'm looking for

I’m looking to build and ship production GenAI and agentic systems, prioritizing accuracy, determinism, and observability, while scaling reliable backends that reduce operational toil and improve real user workflows.

I’m an AI/ML Computational Science Analyst focused on turning complex, unstructured data into reliable outcomes. At Accenture, I scaled automated document processing to 400k+ records monthly, reaching 95% extraction accuracy and reducing manual operational toil by 90% through a multi-stage ML classification and field-extraction pipeline.

I also build agentic and retrieval systems designed for determinism and measurable quality—whether it’s Vision-to-JSON using LLMs to convert UI screenshots into machine-readable schemas, claims processing with LangGraph multi-agent workflows, or a production-grade RAG system for medical record digitization using semantic chunking and Elasticsearch hybrid retrieval with RAGAS-based evaluation. I care about high availability and reliability, so I apply observability and logging to distributed systems that must perform in real health-tech environments.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology, Hyderabad logoIH

Indian Institute of Technology, Hyderabad

Bachelor of Technology, Artificial Intelligence

2020 - 2024

Grade: CGPA: 7.78/10.0

Activities and societies: Relevant coursework: Machine Learning, Deep Learning, Reinforcement Learning, Natural Language Processing, Computer Vision, Data Structures & Algorithms, Statistics.

B.Tech in Artificial Intelligence at IIT Hyderabad, completed in 2024 with a CGPA of 7.78/10.0. Coursework included machine learning, deep learning, NLP, computer vision, and reinforcement learning.

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