Summary
Vignesh Edithal is a Senior Software Engineer with eight years of experience specializing in GPU profiling and AI research, currently building and maintaining Python backends for profiling and benchmarking generative AI workloads on AMD data center GPUs. He blends production-grade systems engineering (DevOps, Kubernetes, Docker, Kafka) with applied ML research, having prototyped visual quality assessment and efficient retrieval-augmented generation during recent AI research roles. His background spans industry and academia—from building multimodal game event detectors with foundational vision models to teaching system programming at the University of Toronto—reflecting both hands-on implementation and pedagogical clarity. Vignesh holds an MS in Data Science from the University of Toronto and technical diplomas from IITs, which inform his data-driven approach to performance and model evaluation. He also maintains an active GitHub and public resume, signaling a preference for transparent, reproducible tooling in ML performance engineering. An under-the-radar strength is his cross-domain fluency: he moves comfortably between low-level performance profiling and high-level ML research, enabling pragmatic optimizations for production AI workloads.
8 years of coding experience
1 year of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Indian Institute of Technology, Patna
Master of Science - MS, Data Science major, Master of Science - MS, Data Science major at University of Toronto
Indian Institute of Technology Madras
High School, PCM, High School, PCM at Modern Vidya Niketan
Kendriya Vidyalaya Sangathan
English, Telugu, Hindi