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Netraj PatilNP
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Netraj Patil

@netrajpatil

Aspiring computer engineer building LLM workflows and autonomous agentic systems with production-ready Python.

Zimbabwe
Message

What I'm looking for

I’m looking for a role where I can build production-grade AI systems—especially LLM workflow optimization, evaluation, and agentic applications—while contributing strong backend engineering and scalable ML pipelines in a collaborative team.

I’m a Computer Engineering student with a strong interest in Artificial Intelligence—especially optimizing Large Language Model (LLM) workflows and building autonomous agentic systems. I enjoy turning research-grade ideas into practical, reliable software.

In my Data Science Intern role at Jio Platforms Limited (Reliance), I leveraged OCR technologies like docTR, Keras OCR, and pytesseract to build automated data extraction for complex document processing. I improved document comparison and validation using similarity score assessments, and supported real-time analysis by building a Flask RESTful API and data pipeline for production usage.

My projects reflect the same focus on LLM performance and system design. I built an LLM evaluation library (“LLM Jury”) for standardized scoring and benchmarking (including RAG and summarization), created “Glia,” a high-performance semantic caching library with a Watcher engine for automatic cache synchronization, and developed an autonomous AI assistant integrated with WhatsApp using LangChain/LangGraph, FastAPI, and external AI/search APIs.

Experience

Work history, roles, and key accomplishments

PR

LLM Jury

Project

Developed a Python library to evaluate Large Language Model (LLM) performance with standardized scoring and benchmarking for tasks like RAG and summarization.

JL

Data Science Intern

Jio Platforms Limited

Built automated OCR-based data extraction pipelines and improved document comparison accuracy using similarity scoring and layout-aware modeling. Developed production-oriented Flask APIs and machine learning datasets using Hugging Face.

Education

Degrees, certifications, and relevant coursework

VIIT, Pune logoVP

VIIT, Pune

Bachelor of Technology (B.Tech), Computer Engineering

Grade: CGPA: 8.83

Pursuing a B.Tech in Computer Engineering (3rd year). Maintains a CGPA of 8.83.

CS

Chaitanya’s International School

Higher Secondary Certificate (HSC), Higher Secondary Education

Grade: Percentage: 81%; JEE Mains Percentile: 96.01

Completed Class 12 (HSC). Scored 81% and 96.01 percentile in JEE Mains.

VM

Vidya Pratishthan’s Vinodkumar Gujar’s Bal Vikas Mandir

ICSE (Class 10), Secondary Education

Grade: Percentage: 92.83%

Completed Class 10 (ICSE). Scored 92.83%.

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