🎓 MS in Computer Science @ Wake Forest University, USA
💻 Software Engineer | Researcher
🏆 ICPC World Finalist (2021, 2022) | Codeforces Master (2108)
I have experience in software engineering, reinforcement learning, and algorithmic problem solving.
Currently, I am a Graduate Research Assistant focusing on explainability and safety in single and multi-agent reinforcement learning systems.
- Reinforcement Learning
- Multi-Agent Systems
- Intelligent Systems
- Explainable and Trustworthy AI
Wake Forest University | Aug 2024 – Present
- Research in reinforcement learning with emphasis on explainability and safety
- Developed deep learning and RL models using Python and PyTorch
- Fine-tuned and deployed LLMs using Hugging Face and Unsloth
- Publications in AAMAS (CORE A*), ICAPS (under review), and NeurIPS Workshop
Enosis Solutions | Dec 2022 – Jun 2024
- Built enterprise-scale e-commerce and CRM systems using ASP.NET Core, Angular, SignalR, and MSSQL
- Developed real-time nopCommerce live chat plugin using SignalR
- Implemented secure background verification system using FBI Wanted API and Azure Blob Storage
- Collaborated in Agile Scrum team environments, managing tasks and progress using Jira
- Languages: C++, C#, Python, JavaScript
- Frameworks: ASP.NET Core, Angular, SignalR, PyTorch
- Databases & Cloud: MSSQL, Azure
- ML: Deep Learning, Reinforcement Learning, LLM fine-tuning (Hugging Face, Unsloth)
- CS Foundations: Algorithms, Data Structures, Computer Networks, Operating Systems
- ICPC World Finalist (2021, 2022)
- Codeforces Master (Max Rating: 2108)
- 2500+ algorithmic problems solved
- Publications at AAMAS (CORE A*) and NeurIPS Workshop
- LinkedIn: linkedin.com/in/risal-shefin
- GitHub: github.com/risal-shefin
- Email: shefin.cse16@gmail.com
⭐ Open to full-time SWE and AI/ML opportunities, research collaboration, and challenging engineering problems.