Summary
Mahadev Gaonkar is a Senior AI Solutions Architect with 11+ years designing and delivering cloud-native, enterprise storage and AI systems across on-prem and public clouds (GCP, AWS, Azure). He combines deep systems-level experience in distributed storage and high-performance compute with hands-on ML/DL engineering using Python, PyTorch and NVIDIA stacks, now focusing on enterprise AI solutions for AMD Instinct GPUs and ROCm. Mahadev has repeatedly bridged proofs-of-value into production at companies like Capgemini and C3 AI, driving ROI through scalable architectures, agentic applications and AI-enabled optimization. His early career building storage firmware and real-time defense systems in C gives him uncommon low-level insight into performance and reliability tradeoffs. Based in California, he pairs executive AI education from UC Berkeley with a pragmatic engineering approach that turns complex hardware-software stacks into customer-ready solutions.
11 years of coding experience
25 years of employment as a software developer
Executive Education, Artificial Intelligence and Machine Learning, Executive Education, Artificial Intelligence and Machine Learning at University of California, Berkeley
Bachelor of Engineering - BE, Electrical and Electronics Engineering, Bachelor of Engineering - BE, Electrical and Electronics Engineering at University of Mumbai
English, Hindi