Summary
Mayank Meghawat is an ML/GenAI Architect with 9 years of experience designing and deploying scalable machine learning and generative AI systems for enterprise and device-level products. He has led high-impact engagements at Wipro and Samsung R&D, architecting solutions that cut data maintenance costs by 79% and supported real-time, high-performance inference on smartphones. Skilled across computer vision, biometrics, NLP, and LLMs, he builds distributed architectures that handle hundreds of thousands of requests per second with low latency and robust monitoring. Currently based in Austin, he focuses on Google Vertex AI and Google ADK to productionize models at Tiger Analytics while mentoring cross-functional teams. Beyond production systems, he has driven patented innovations and practical techniques like synthetic data generation to improve model robustness. Pragmatic and delivery-oriented, he blends research-grade ML expertise with enterprise-grade engineering and cost-conscious impact.
9 years of coding experience
SSC, SSC at St. Gregorios School
Bachelor of Technology (B.Tech.), Information Technology, Bachelor of Technology (B.Tech.), Information Technology at Nirma University
HSC, Science, HSC, Science at Central Academy, Udaipur