About

Rajesh Pothamsetty is a highly skilled Sr. Machine Learning Engineer with a strong background in software development and financial engineering. He currently works at Zest.AI, where he applies his expertise in machine learning to develop software solutions. Rajesh holds a Master's degree in Computer Science (Machine Learning) from the Georgia Institute of Technology, Atlanta, and a Master's degree in Financial Engineering from the University of California, Los Angeles (UCLA) Anderson School of Management. Rajesh has a diverse range of experience in the financial industry, having worked as a Quantitative Researcher at Logica Capital Advisers, LLC, where he developed statistical arbitrage trading strategies, built applications to compute long/short equity positions, and created a pairs trading back-testing framework. He has also worked as a Financial Engineer at ICE, where he implemented an on-premise server health monitor and built OOP modules to improve the efficiency of ETL processes. Rajesh is highly organized and has the ability to manage multiple projects and meet deadlines consistently. He is enthusiastic about machine learning applications in finance and has a keen interest in software engineering, machine learning, and programming. His programming skills include Python, Java, and SQL, and he is proficient in financial databases such as COMPUSTAT, CRSP, Bloomberg, and WRDS. Rajesh's educational background includes a Bachelor's degree in Mechanical Engineering from Birla Institute of Technology and Science, Pilani, and he also attended Gowtham Concept School. He is a tech-savvy professional with a strong tech stack that includes ML, AI, SQL, Software Engineering, Research Scientist, Python, Java, ETL, test, and Integration. With 4.86 years of relevant experience, Rajesh is a valuable asset to any team looking to develop cutting-edge machine learning solutions.