Summary
Luckyson Khaidem is a Software Engineer 2 with 11 years of experience building data-driven, cloud-native systems for top tech companies including Uber, Microsoft, and AWS. He has applied deep learning and NLU to real-world products—developing travel chatbots and search-cache optimization with evolutionary algorithms at Amadeus—and has hands-on expertise with Kubernetes on AWS EKS and ELK-based observability. Currently pursuing an MS in Computer Science at the University at Buffalo with a perfect 4.0 GPA, he blends rigorous academic research in ML, multi-objective optimization, and game theory with practical production engineering. His work spans both backend Java services and ML model integration, and he has developed novel mathematical models like airport-popularity estimators tied to geocoordinates. Based in Seattle, he brings a rare mix of research curiosity and product-focused execution across large-scale cloud platforms.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (BE), Computer Science, 76.01%, Bachelor of Engineering (BE), Computer Science, 76.01% at PES University
Master of Science - MS, Computer Science, 4.0/4.0, Master of Science - MS, Computer Science, 4.0/4.0 at University at Buffalo
English, meitei, Hindi, Chinese