R

Hello, I'm

Rishabh Patel

B.Tech (Mathematics & Computing) · IIT Delhi

Reinforcement Learning · Game AI · Algorithm Design

Scroll
About Me

Mathematics meets
intelligence

I'm Rishabh Patel, a B.Tech student in Mathematics and Computing at IIT Delhi, driven by a passion for reinforcement learning, game AI, and algorithm design.

My work spans building autonomous game-playing agents using Deep Q-Networks to exploring combinatorial game theory beyond minimax approaches. I thrive at the intersection of mathematics and code.

Currently in my 2nd year, I'm open to internships and research opportunities where I can apply my skills to challenging real-world problems.

RL & Game AI

Building intelligent agents with Deep Q-Networks and reinforcement learning techniques.

Algorithm Design

Solving complex problems with provably optimal algorithms and combinatorial game theory.

Olympiad Background

AIR 925 in JEE Advanced, qualified INMO, RMO, IOQM, and multiple National Standard Examinations.

Projects

Selected work

01

DQN Agent for Pokémon Red

Built an end-to-end Deep Q-Network agent capable of autonomously playing Pokémon Red from raw game frames. Independently engineered reward shaping and optimization logic, achieving performance on par with Peter Whidden's well-known benchmark implementation.

PythonDeep Q-NetworkPyTorchReinforcement Learning
02

Adaptive Tic-Tac-Toe Engine

Developed a Tic-Tac-Toe game with a novel dynamic strategy engine that changes its winning logic pattern daily. Implemented provably optimal deterministic move sequences ensuring guaranteed wins under specific game-state conditions.

C++Game TheoryAlgorithm DesignDecision Trees
Skills

Tech stack & tools

Languages

C++Python

Domains

Reinforcement LearningGame AIAlgorithm DesignGame Theory

Frameworks

PyTorchDeep Q-Network

Tools

GitLinux
Education

My journey

2025 – 2029

B.Tech in Mathematics & Computing

Indian Institute of Technology Delhi

Pursuing a Bachelor of Technology in Mathematics and Computing (MnC) with a current CGPA of 8.12 / 10.

  • Coursework in algorithms, machine learning, and mathematical modeling
  • Active in coding communities and research-oriented projects
  • Open to internships and research opportunities
Achievements

Competitions & honors

JEE Advanced 2025

All India Rank 925 — among top 0.1% of ~200,000 candidates

JEE Mains 2025

All India Rank 1855

INMO 2024

Appeared for the Indian National Mathematical Olympiad 2024

RMO

Qualified in Class 11; scored 54/102 in Class 12 (2024)

IOQM

Qualified in both Class 11 and Class 12

NSEJS

National Standard Examination qualifier (Junior Science)

NSEC

National Standard Examination qualifier (Chemistry)

NSEA

Qualified in both Class 11 and Class 12 (Astronomy)

Contact

Let's connect

I'm open to internships, research opportunities, and collaborations. Feel free to reach out!

Find me online

The best way to reach me is via email or phone. I typically respond within 24 hours.

Location

Prayagraj / Delhi · Open to internships and research opportunities