Summary
Ujwal Tewari is a Senior AI Researcher based in Bengaluru with nine years of applied experience deploying reinforcement learning and evolutionary strategies for real-world control and decision systems. He has led Deep RL projects for traffic flow optimization and anomaly detection in medical imaging, and builds multi-modal solutions spanning computer vision, goal-oriented dialog, NLG, and knowledge-graph based vectorization. At Salesken and Siemens he translated research into production-ready agents, and has acted as an AI Ambassador at Intel and mentor/reviewer for Udacity’s Deep RL programs, reflecting a strong practitioner-teacher profile. He publishes on control optimization and multi-agent systems and maintains an active tech blog, signaling a commitment to sharing practical insights. Colleagues describe him as someone who blends rigorous academic training with hands-on deployment experience, and who enjoys integrating creative interests like fitness and art into his problem-solving approach.
9 years of coding experience
2 years of employment as a software developer
Data Engineering on Google Cloud Platform Specialization, Google Cloud Platform, 96.7, Data Engineering on Google Cloud Platform Specialization, Google Cloud Platform, 96.7 at Coursera
Deep Learning Nanodegree, Deep learning models along with machine learing and Deep Reinforced learning, Passed, Deep Learning Nanodegree, Deep learning models along with machine learing and Deep Reinforced learning, Passed at Udacity
Online Course Certification, Deep Learning with TensorFlow, 95%, Online Course Certification, Deep Learning with TensorFlow, 95% at Cognitive Class
City Montessori School
Bachelor of Technology - BTech, Computer Science, 7.51, Bachelor of Technology - BTech, Computer Science, 7.51 at Indian Institute of Information Technology Vadodara
Artificial Intelligence A-Z, Deep learning, AI and Game agent designing, Passed, Artificial Intelligence A-Z, Deep learning, AI and Game agent designing, Passed at Udemy Academy