Summary
Nikhil Castelino is a Corporate Investment Quantitative Financial Analyst in Atlanta with nine years of experience blending software engineering and quantitative finance. He brings a strong technical toolkit—C/C++, Java, Python, SQL, MATLAB, OpenCV, ROS—and practical experience building RPA systems, computer vision models, and mobile apps across Windows and Linux. At Bank of America he applies analytical rigor to investment data while his prior internships delivered production-grade RPA and mobile solutions that automated decision-critical workflows. Academically grounded with a BS in Computer Science & Robotics Engineering and a master’s in Mechatronics from WPI, he also has hands-on teaching experience in STEM subjects. Comfortable moving between low-level systems and high-level ML/AI prototypes, he favors pragmatic, automated solutions that reduce manual effort and surface actionable signals. A detail-oriented problem solver, he often combines robotics-style sensing approaches with finance data pipelines to uncover non-obvious patterns.
9 years of coding experience
International Baccalaureate Diploma Programme, International Baccalaureate Diploma Programme at Singapore International School, Mumbai
Bachelor of Science (B.S.), Computer Science and Robotics Engineering, Bachelor of Science (B.S.), Computer Science and Robotics Engineering at Worcester Polytechnic Institute
St. Mary's School, Vashi