Open to opportunities

shrikar shettigar

@shrikarshettigar

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AI/ML engineer and full-stack developer building production-grade LLM-powered products.

India

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What I'm looking for

I’m looking for entry-level AI/ML or full-stack roles at innovative startups, where I can build and ship production-grade LLM-powered products—owning architecture, deployment, and rapid iteration with real user feedback.

I’m an AI/ML engineer and full-stack developer with hands-on experience building production-grade, LLM-powered applications.

I’m the Founder of I Hate PDF, an AI-powered PDF productivity platform where I built and deployed features like document conversion, AI chat, and research paper generation using React, FastAPI, and multiple LLM APIs.

I take ownership end-to-end—architecture, deployment, user feedback integration, and ongoing feature development—while also implementing growth and monetization through referrals and a credits system.

I’ve also worked as a Deep Learning Intern at Contriver, applying Python, deep learning, and neural networks to build an Intersection Conflict Prediction System with an ML model and physics-based Time-To-Collision (TTC) metrics.

Experience

Work history, roles, and key accomplishments

Current

Founder & Full Stack AI Developer

Current

I Hate PDF

Nov 2025 - Present (8 months)

Built and deployed an AI-powered PDF platform with document conversion, AI chat, and research paper generation using React, FastAPI, and multiple LLM APIs. Managed end-to-end product lifecycle and implemented a credits-based referral and premium monetization strategy.

React fastAPI Chat Document Conversion Research Generation Product Architecture Deployment Monetization Strategy

Deep Learning Intern

Contriver

Jan 2026 - May 2026 (4 months)

Trained in Python, deep learning, and neural networks and applied them to real-world AI problem solving. Developed an Intersection Conflict Prediction System that predicts vehicle collisions using an ML model over real-time trajectories and physics-based TTC metrics, displayed via a React dashboard.

Python Deep Learning Neural Networks Machine Learning Time To Collision React Web Application Development

Education

Degrees, certifications, and relevant coursework

Yenepoya Institute of Technology

Bachelor of Engineering, Artificial Intelligence and Machine Learning

Grade: 7.2/10.0

Activities and societies: Secretary, Yen-Artificia AI/ML Association—organized technical workshops and events for 100+ students. Event Coordinator for UnScramble 2.0 Hackathon & Yen Sambhrama Fest.

B.E. in Artificial Intelligence and Machine Learning at Yenepoya Institute of Technology (CGPA 7.2/10.0).