• Year: Freshman
• Major: Computer Science, Concentration in Machine Learning

About

I’m first-year grad student in Machine Learning at Drexel University, passionate about applying artificial intelligence to quantitative research and financial modeling. With a background in software engineering, I bring strong skills in Python, deep learning, and data-driven optimization. My academic interests include time-series forecasting, large language models, and algorithmic trading systems. Outside of academics, I enjoy cooking, playing squash, and connecting with peers on campus. I aim to build innovative AI solutions that bridge research and real-world financial intelligence.

Career Goals

My career goal is to become a Quantitative Research Machine Learning Engineer, leveraging AI, large language models (LLMs), optimization, and statistical modeling to solve complex financial problems. I aim to contribute to innovation in quantitative finance and eventually lead an AI-driven fintech startup that transforms data and intelligence into impactful financial strategies.

Interests

• Quant trading
• Trading
• Finance
• AI, ML, LLM
• Software developer
• Coding
• Firmware developing
• Embedded

Looking For

I’m looking for a mentor who is not only a guide but also a friend—someone approachable, open-minded, and easy to talk to. I value mentors who can share their experiences in machine learning, LLMs, and quantitative research, while encouraging creative thinking and exploration. I appreciate honest feedback, thoughtful discussions, and guidance that helps me grow both technically and personally. Most importantly, I hope to build a genuine, collaborative relationship where we can learn from each other, exchange ideas freely, and enjoy the process of growing together as individuals and professionals.