Summary
Avish Jha is a software engineer specializing in scalable systems and cloud-native solutions, currently pursuing an MS in Software Engineering (Scalable Systems) at Carnegie Mellon with a 4.17/4 GPA. With 1.5+ years at Addverb Technologies and a total of six years of professional experience, he has optimized large-scale warehouse automation platforms and designed high-performance Spring Boot middleware backed by SQL and NoSQL stores. His expertise spans distributed systems, AWS deployments, and data-intensive architectures, and he has practical MLOps experience deploying deep learning models in production. A published researcher in IEEE and Springer, Avish has contributed to EEG modeling, computer vision, and algorithm analysis, blending academic rigor with hands-on engineering. He thrives on turning complex, distributed problems into measurable, scalable solutions and often bridges research concepts into production-grade systems.
6 years of coding experience
Carnegie Mellon University School of Computer Science
Hindi, German, English