Mugdhesh Pandkar is a software engineer with eight years of hands-on experience building full-stack applications, backend APIs, Python tooling, and mobile apps, currently working at Galaxy after a research-focused tenure at Lockheed Martin. He has a track record of optimizing build systems and data pipelines—cutting cross-compilation build times by 40% and speeding data processing by 80%—and has built production APIs using C, Java, Spring, Kafka, Cassandra, and SQL. Comfortable leading teams, he redesigned HackRU’s site to boost engagement and led multi-developer projects and CI/CD efforts that improved test and deployment efficiency. His academic and research work includes conversational AI and unsupervised learning for course planning, reflecting an interest in applying NLP and agent strategies to real products. Based in Princeton, he combines a practical, performance-minded engineering approach with a passion for large-scale distributed systems and product-driven full-stack development.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Rutgers University–New Brunswick
High School Diploma, High School Diploma at Montgomery High School
Computer Science, Computer Science at Princeton University
A conversational A.I. built for Rutgers Course Planning. Developed by an Interdisciplinary Research Team comprised of Mugdhesh Pandkar, Nicole Ross, Nehal Thakkar, Swapneil Singh, Bianca Caproni, Aisha Humaira, and Vanessa Chin, under the guidance of Dr. Matthew Stone.
Contributions:10 PRs, 23 pushes, 2 branches in 2 years
Contributions:12 pushes, 1 branch in 2 years 8 months
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