Krishna brings extensive depth in leadership, entrepreneurship & technology architecture. His experience in developing quality products and services span many verticals such as healthcare, travel & education. His interests include design of Scalable Software Systems, Deep Learning and Machine Learning. BS (Honors) Comp Engg, MS Comp Sci, MBA (ASU)

Aniket Majumdar, PhD, is an experienced Data Scientist with two decades of demonstrated history of working in the information technology and services industry. Skilled in Machine Learning, Data Mining, and Statistical Modeling with a PhD in Mathematical Sciences focusing on Network structures and algorithms, he also holds masters degrees in Statistics, Mathematics and Operations Research.

Areas of Expertise: Modeling, design, analysis of algorithms for decision making in complex systems, reinforcement learning, multi-armed bandits, restless bandits, and recommendation systems. B.Tech, M.Tech, IIT Madras. PhD, Electrical Engg. UT Austin. Post-Doc Fellow, Technion – Israel Institute of Technology.

Aaron Arvey, PhD, is a ML expert with a focus on life sciences & pharmaceutical drug development. He has lead scientific endeavors at Cornell Medical School, Gilead Sciences, Howard Hughes Medical Institute & Memorial Sloan Kettering. Areas of of interest include non-convex training methods, boosting algorithms and CNN.

Tomasz's experience spans verticals such as aerospace, telecommunication, healthcare, banking and education. He's an open source contributor and member of, Association for Computing Machinery, and Aviation Consulting Association. Areas of interest include DevOps, Cloud, Big Data, Systems Architecture & Engineering.