Open to opportunities

Sharad Mayank Sinha

@sharadmayanksinha

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AI/ML-focused Computer Science student building games and full‑stack AI apps.

India

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What I'm looking for

I seek collaborative roles applying game AI, ML models, and full‑stack skills to build user‑centered products with growth and mentorship opportunities.

I am a Computer Science undergraduate specializing in AI & ML, combining strong academic performance with hands-on experience building games and full‑stack AI applications. I design intelligent game systems, implement pathfinding and behaviour AI, and develop end‑to‑end web apps that integrate machine learning models.

My projects include Unity games where I implemented A* pathfinding, state machines, destructible environments, custom physics and N‑body gravity simulations, and a full‑stack FarmBud app that uses CNNs for crop disease detection and ML models for crop recommendations. I led club initiatives and internships, delivering playable titles and mentoring peers.

I thrive in collaborative, product‑oriented teams that value iterative development and applied research; I seek roles where I can contribute game AI, machine learning, and full‑stack engineering expertise to build impactful, user‑centered products.

Experience

Work history, roles, and key accomplishments

Full-Stack AI Developer

FarmBud (Personal Project)

Built FarmBud, an end-to-end AI web app for crop disease detection and crop recommendations using CNNs and soil datasets, integrated weather APIs and full-stack React+Flask architecture.

Python React Flask Keras scikit learn CNN API Integration data preprocessing

Founder & Lead

The Game Forge

Founded and grew a university game development club to 20 active members, organized 5+ workshops with high satisfaction, and mentored peers in project management and game design.

Workshop Facilitation Mentoring Project Management Game Development Event Planning Community Building

Physics Puzzler Developer

The Long Drift (Personal Project)

Engineered a Unity 2D physics puzzler with Verlet integration for predictive trajectories and an N-body gravity system, plus a stateful GameManager for persistent gameplay.

Unity C++Verlet Integration N Body Gravity

Unity Game Developer

The Quota (Personal Project)

Designed a top-down roguelike in Unity with adaptive enemy AI using A* pathfinding and state machines, and a destructible maze that increased beta engagement by 40%.

Unity C++A* Pathfinding Playtesting

Game Developer Intern

Chennai Games

Led a cross-functional team to produce two Unity games, developed core gameplay mechanics and player behavior in C#, and authored Game Design Documents to guide development.