As a part-time junior performance engineer/quant dev at Akuna Capital, I apply my skills in various fields such as performance profiling, distributed computing, and large scale data analysis to optimize the performance and scalability of the company's trading systems and strategies. I work with a team of talented engineers and quants to design, implement, test, and optimize algorithms and strats that leverage the latest technologies, data sources, and markets. I enjoy working in a fast-paced and collaborative environment that challenges me to learn new things and solve complex problems.I am also a graduate student at the University of Chicago, pursuing a master's and a bachelor's degree in computer science and mathematics. I have a strong academic background and a passion for research, especially in mathematical areas. I also have experience with ML for 3D point clouds, computer vision, and LLMS. I have co-authored a paper and participated in a datathon, where I won the first place with my team. I am always eager to expand my knowledge and skills, and to apply them to real-world applications.