I’m a UC Berkeley Computer Science graduate (Class of 2022) with several years of programming experience, primarily in Python. Since college, I’ve been passionate about developing algorithmic trading strategies as a side project, using QuantConnect to design, backtest, and refine my approaches. My primary focus is on leveraged equity strategies, and I use Interactive Brokers for brokerage integration. I’m motivated by a drive to increase my net worth and supplement my annual income through systematic, data-driven trading. My current goal is to continue refining and improving my live algorithms, with an emphasis on risk management and sustainable returns. Always interested in learning, iterating, and connecting with others in the quant community.