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Omkar ShindeOS
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Omkar Shinde

@omkarshinde

AI-focused software engineer specializing in LLM-driven systems, NLP, and automation for production impact.

India
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What I'm looking for

I seek roles building production LLM/NLP systems and automation where I can reduce manual effort, ship scalable pipelines, and grow in ML engineering and system design.

I am an AI-focused software engineer with hands-on experience architecting LLM-driven systems, NLP pipelines, and automation that accelerate developer productivity and reduce manual effort. I specialize in Retrieval-Augmented Generation, knowledge graphs, and production-ready integrations across code and business systems.

At CGI I built a Graph RAG pipeline over a 10,000+ line legacy C++ codebase, a PR review bot that auto-generates tests, and automated Jira and report-migration pipelines—delivering measurable reductions in onboarding, review time, and migration effort. As a data science intern I developed OCR and computer-vision solutions with TensorFlow and OpenCV, achieving strong precision and real-time monitoring performance.

I combine strong engineering fundamentals from a B.Tech in Computer Science (AI specialization) with practical ML/NLP tooling—spaCy, TensorFlow, LangChain, Neo4j—and a track record of shipping systems that reduce manual work and improve operational metrics.

Experience

Work history, roles, and key accomplishments

CGI logoCG
Current

Software Engineer

CGI

Sep 2025 - Present (6 months)

Architected an LLM-driven Graph RAG pipeline for legacy C++ codebase intelligence reducing onboarding time by 40%.
Built an AI-powered Crystal Reports to Jasper migration pipeline across 200+ templates cutting effort by 75%.
Developed an automated PR review bot reducing overhead by 60% and a Jira summarization pipeline cutting report generation from 2 hours to 2 minutes.

EL

Data Science Intern

Elixir.ai

Mar 2024 - Jul 2024 (4 months)

Built OCR and computer vision pipelines for medical
document processing and real-time cooler compliance monitoring, improving text recognition by 20% and achieving 95% precision across 4,000+ images and 500+ compliance audits.

PP
Current

NLP Engineer

Personal Projects

Apr 2024 - Present (1 year 11 months)

Developed a resume classification and parsing system achieving 85%+ category accuracy and robust PDF/DOCX extraction, and built a video recommendation engine that improved engagement by 20% with <500ms API responses.

Education

Degrees, certifications, and relevant coursework

MT

Manipal Institute of Technology

Bachelor of Technology, Computer Science

2021 - 2025

Activities and societies: Treasurer, Manipal Open Source Community (Apr 2023 – Apr 2024); coursework in Reinforcement Learning, Introduction to Big Data, AI for Everyone, Front-end Development, Programming with JavaScript, UI/UX Design.

Completed a B.Tech in Computer Science with specialization in Artificial Intelligence focusing on reinforcement learning, big data, and AI applications.

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