Computer Science & Mathematics

Sakib Hassan.

Building intelligent systems. Specializing in Reinforcement Learning, AI models, and real-time software.

Education

Jan 2022 – May 2026

University at Buffalo

B.S. in Computer Science • Minor in Mathematics

Buffalo, NY

Aug 2025 – Dec 2025

The Chinese University of Hong Kong

Study Abroad Program (CUHK)

Hong Kong

Work Experience

Featured Projects

PythonPyTorchReinforcement Learning

Denoised RL for Optimal Execution

Sep 2025 – Dec 2025

AI-driven trade execution strategies leveraging diffusion models on minute-level QQQ market data.

  • Implemented Diffusion-QL policies against baseline PPO agents.
  • Simulated market impact & liquidity limits via Almgren-Chriss framework.
  • Outperformed TWAP baselines consistently across 486 trading windows.
PythonPyTorchPettingZoo

Multi-Agent RL in Adversarial Settings

Nov 2024

Multi-Agent Deep Q-Network (DQN) implementation inside competitive simulated environments.

  • Architected shared policy and replay mechanisms for cooperative agents.
  • Modeled adversarial reward structures in partially observable environments.
  • Evaluated stability across 2,000+ training episodes.
LangChainOpenAIStreamlit

Semantic Search Chatbot

Sep 2023

Semantic text analysis engine extracting insights from unstructured documents and PDFs.

  • Built vector similarity search & document chunking pipelines.
  • Engineered prompt tuning methods to maximize response accuracy.
UnityC#HTML/CSS

UB Hacking Winner — Financial Game

Nov 2022

Awarded Best Freshman Hack & M&T Tech Awards.

  • Developed an educational game teaching core financial literacy principles.
  • Built interactive web documentation and web portal.

Technical Skills

Languages

Python (Advanced), Java (Advanced), SQL (Proficient), C (Proficient), JavaScript, HTML/CSS

Frameworks & Tech

PyTorch, CUDA, TensorFlow, React, Streamlit, WebSockets, Postgres, DynamoDB

Developer Tools

Git, GitHub, Docker, AWS (EC2, Cognito), Unity, Google Colab, Anaconda, VS Code