Summary
Sri Kumar is a Software Image Processing Engineer with nine years of hands-on experience building computer vision and ML systems for industrial inspection and automation, currently developing detection algorithms at INFRAVIS. He has applied deep learning, photogrammetry and synthetic data techniques across rail and steel industries—shipping vision systems at Wabtec, Trimble and Tata Steel that improved equipment efficiency and quality assurance on heavy manufacturing lines. A Cornell/Technion MS graduate, he also worked on semantic search and PII removal for clinical transcripts, gaining practical NLP skills in summarization, extraction and QA that complement his vision expertise. His background spans end-to-end productization from embedded vision prototypes to pruning/quantization pipelines and desktop calibration tools, and he has built real-time neural-rendering research for XR volumetric communication. Colleagues describe him as utility-driven and pragmatic: he focuses on applied solutions that measurably improve operations while exploring multimodal LLMs and indoor robot navigation.
9 years of coding experience
6 years of employment as a software developer
B.E Electrical and Electronics Engineering, B.E Electrical and Electronics Engineering at Birla Institute of Technology, Mesra
Xth BSEAP, Xth BSEAP at Keshava Reddy Concept School
Master of Science - MS Applied Information Sciences, Master of Science - MS Applied Information Sciences at Technion - Israel Institute of Technology
Intermediate Education MPC, Intermediate Education MPC at Narayana Junior College, Nellore
Master of Science - MS Information Systems, Master of Science - MS Information Systems at Cornell University
Master of Science - MS (Issued by: Technion – Israel Institute of Technology & Cornell University) Applied Information Sciences & Information Systems with concentration in Connective Media, Master of Science - MS (Issued by: Technion – Israel Institute of Technology & Cornell University) Applied Information Sciences & Information Systems with concentration in Connective Media at Cornell Tech
English, Telugu, Hindi, German, Japanese