Summary
Dinesh Gnanasekaran is a Senior Software Engineer and machine learning specialist based in San Jose with six years of experience building scalable ML infrastructure and production models. He has progressed from intern to senior engineer at Dragonfruit AI, blending research-grade deep learning (medical imaging and angiogram enhancement) with practical deployment on devices like the Myriad X VPU. His background includes developing end-to-end pipelines—face recognition, OCR for Bombay Stock Exchange records, and vessel segmentation using modified U-Nets—that moved prototypes into funded pilot products. Dinesh pairs an MS in Electrical Engineering from USC with hands-on experience collecting and labeling DICOM datasets, optimizing model accuracy and reducing user friction in production systems. Colleagues describe him as intellectually curious—reflected in a GitHub bio that calls him "a guy wandering the planet to satisfy his quench for knowledge"—and comfortable spanning model research, optimization, and scalable deployments. He brings a pragmatic, product-focused mindset to ML problems, especially in medical imaging and real-time inference.
6 years of coding experience
2 years of employment as a software developer
Master of Science - MS Electrical Engineering, Master of Science - MS Electrical Engineering at University of Southern California
BTech - Bachelor of Technology Electrical Electronics and Communications Engineering, BTech - Bachelor of Technology Electrical Electronics and Communications Engineering at Amrita Vishwa Vidyapeetham