Summary
Manav Majumdar is an AI and machine learning founder with 11 years of hands-on software engineering experience, currently building advanced reasoning LLMs and goal-driven agents at Tesslate. He has shipped models with over 50k downloads (including Tessa-T1, UIGEN, and emotionally-aware Synthia-S1) and scaled multi-GPU training pipelines across AWS, GCP, and Azure using DeepSpeed and Hugging Face tooling. His work blends research in human-robot interaction and autonomous systems with practical deployment skills—PPO, GRPO, and RLHF improvements validated by rigorous benchmarking and stress tests. Prior roles span software engineering and analytics at Bank of America, startup leadership at Relio, and applied research at UNC Charlotte, showing a track record of moving prototypes into production. Based in the Charlotte area, he pairs entrepreneurial drive with teaching and data-engineering experience, having built large public court datasets and taught VR programming to youth. Notably, he combines product leadership with deep model engineering, often focusing on emotionally-aware and persistent-memory agents rather than purely benchmark-driven models.
11 years of coding experience
4 years of employment as a software developer
Bachelor's degree Business Analytics, Bachelor's degree Business Analytics at University of North Carolina at Charlotte
Enloe High School
Bengali, English