Summary
Karan Allagh is a software engineer and current Research and Teaching Assistant at New York University pursuing a Master’s in Computer Science, with five years of hands-on experience building reliable ML and production systems. He has bridged research and product as a founding engineer/CTO and full-stack developer, shipping agentic AI workflows that cut inference costs through caching, batching, and async worker queues. At NYU he developed reproducible Python and SQL pipelines for large graph datasets, performed failure-mode analyses, and helped secure a full paper acceptance at ES 2026 on reliable AI planning. His background spans industry R&D at Samsung, fintech and infrastructure internships, and mobile app development—showing a rare mix of academic rigor and pragmatic system engineering. Colleagues value him for turning complex experimental setups into auditable, production-ready workflows that emphasize data integrity.
4 years of coding experience
3 years of employment as a software developer
Master's degree, Master's degree at New York University
Bachelor of Technology - BTech Computer Science and Engineering, Bachelor of Technology - BTech Computer Science and Engineering at Amity University