Mohan Sunkara is a GenAI Model Risk Management Associate and AI researcher with eight years of experience building secure, practical AI systems and a PhD in Computer Science focused on Applied AI and HCI. He has authored 18+ peer-reviewed papers and won Best Research Paper at ACM W4A 2025 for work that advanced usability with LLMs, blending rigorous research with production-minded engineering. Mohan’s hands-on expertise spans LLMs, diffusion and GAN models, RAG, NLP, computer vision, and responsible AI, and he has implemented secure private LLM agents and scalable data pipelines for sensitive government and enterprise data. He has driven applied solutions at firms like Morgan Stanley, PRA Group, ISG, and VMASC—ranging from a clause recommendation system using similarity search indexes to a private LLM for wind-energy projects—while mentoring students and serving on journal editorial boards. A pragmatist who pairs deep technical knowledge (TensorFlow/PyTorch, YOLO, Transformers) with policy-aware design, he uniquely focuses on privacy-preserving model fine-tuning and compliance in regulated settings.
9 years of coding experience
5 years of employment as a software developer
Nursery - 7th class Primary to high school, Nursery - 7th class Primary to high school at St. Joseph Public School
Diploma in Acting Film/Cinema/Video Studies, Diploma in Acting Film/Cinema/Video Studies at Glitters Film Academy - India
Intermediate Junior High/Intermediate/Middle School Education and Teaching, Intermediate Junior High/Intermediate/Middle School Education and Teaching at Narayana Junior College , Nallakunta
Master of Technology - MTech Computer Science and Engineering, Master of Technology - MTech Computer Science and Engineering at Manipal Institute of Technology
10th, 10th at NARAYANA e-TECHNO SCHOOL
8th class High school, 8th class High school at Ravindra Bharathi school
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Old Dominion University
Contributions:8 pushes, 1 branch in 1 year 1 month
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