Summary
Manan Chugh is a software engineer with nine years of engineering experience and a foundation in AI from Cornell University, currently building at Amazon Web Services after several roles at Amazon Robotics. He blends hands-on data engineering, NLP, and backend work—ranging from production data pipelines and query optimization to deploying RESTful services and ML models. At Cornell he taught and mentored peers in object-oriented design and data structures, and his research applied genetic algorithms to disease risk prediction, reflecting an appetite for applied ML in scientific domains. Early internships show a consistent focus on NLP, automation, and practical tooling (web crawlers, Flask APIs, pipeline automation) that scale to production environments. Based in New York, he brings a mix of academic rigor and industrial execution, comfortable moving between algorithms, system architecture, and data-driven product improvements. A less obvious strength is his cross-disciplinary background in cognitive science and math, which informs pragmatic designs for ML-driven features and human-centric systems.
9 years of coding experience
4 years of employment as a software developer
School, 96.2% in ISC grade 12 Board Exams, 95.33% in ICSE grade 10 Board exams, School, 96.2% in ISC grade 12 Board Exams, 95.33% in ICSE grade 10 Board exams at Bombay Scottish School
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Cornell University
English, Hindi