About

I am currently working as Chief Technology Officer & Founding Engineer at Synod IntelliCare in Toronto, Ontario, Canada, where I architected and lead development of DDFA, a fairness auditing platform for healthcare AI, built on a FastAPI/Python and React/TypeScript stack with OAuth2/PKCE authentication, RBAC, audit logging, and Canadian census-based bias benchmarking, deployed on AWS (EC2, RDS, S3, IAM). I built and direct a 5-person engineering team across backend, infrastructure, and frontend functions, and partner closely with executive leadership on company strategy, research and accelerator partnerships, and product positioning and go-to-market priorities. I am also continuing independent consulting work based in the Greater Toronto Area on efficient asset allocation and portfolio optimization using operations research and machine learning techniques. Prior to this, I was a Researcher at the University of Ottawa (2024-2025), where I designed a context-sensitive Human-AI orchestration framework for assigning optimal collaboration modes (HITL, HOTL, HITLFE, HOOTL) based on decision criticality and latitude, and a Human-AI responsibility allocation methodology using the 4C model (Communication, Coordination, Cooperation, Collaboration) to distribute tasks across interaction layers. Before that, I was a Research Consultant in the Mathematics and Computer Science division at Argonne National Laboratory (2022-2023), and a Postdoctoral Appointee there from 2018-2021, investigating mathematical and algorithmic techniques for approximating expensive functions and optimization for tuning derivate-free Monte Carlo simulators. I am a member of the Institute for Operations Research and the Management Sciences (INFORMS) and Society for Industrial and Applied Mathematics (SIAM). I received my Ph.D. in computer science from George Mason University in 2018. My doctoral dissertation involved investigating architectures that model and optimize stochastic closed-form arithmetic simulation models of manufacturing processes with work-in-process inventories over multiple intervals. I was a Research Assistant (RA) in GMU from 2013-2018 and a Guest Researcher at National Institute of Standards and Technology from 2015-2018. Before that, I worked at Los Alamos National Laboratory for 4 years. I also have a Masters in Computer Science from Rochester Institute of Technology and a Bachelors in computer engineering from Mumbai University.

Areas of Interest

• AI Fairness & Trustworthy Systems
• Stochastic & Derivative-Free Optimization
• Human-AI Collaboration & Decision Systems
• Healthcare AI & Applied Machine Learning
• High Performance & Scientific Computing