Bio

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My specific research objectives involve bridging the gap between operations research and machine learning, and finding novel applications in the various areas of economics.

From a methodology perspective, I conduct research in stochastic optimization, in areas such as,

• Online learning (reinforcement learning, multi-armed bandits etc.)
• Sequential decision making (Monte Carlo tree search, simulation etc.)
• Multi-agent competitive games (equilibrium computation, mechanism design etc.)

My research goals contain a mix of theoretical analysis and empirical algorithmic results. My research has pertinent applications in the domains of operations management (i.e. competitive supply chains, revenue management etc.) and control theory (i.e. robotic control, swarm robotics etc.). Furthermore, I have experience in building production grade machine learning pipelines at scale for eCommerce, legal tech , and ad-tech companies.

Here is my academic website at TU Munich.

Academic Background

• Technical University of Munich (2021-Present)
  • PhD Candidate in Computer Science
  • Advisor: Prof. Jalal Etesami
  • Working Thesis: Robust Online Learning and Optimization in Applied Mult-Agent Systems
• University of Toronto (2015-2017)
  • MASc in Industrial Engineering
  • Advisor: Prof. Viliam Makis
  • Thesis: Comparative Study between Statistical Fraud Detection Methods on eCommerce Networks
• University of Toronto (2010–2015)
• BASc in Mechanical Engineering, with Honours
• Minor in Robotics & Mechatronics

Employment

• Dennemeyer SA (2023-2024).
• Senior Data Scientist - Semantic Search & Personalization

• Zalando SE (2020-2021).
• Applied Scientist - AB Testing for Markets & Demand Planning

• Loblaw Companies Ltd. (2018-2020).
• AI Research Engineer - Demand Forecasting & Customer Fulfilment

• StackAdapt Inc. (2016-2018).
• Lead Data Scientist - Real Time Bidding Optimization & Fraud Detection

• Paytm Labs (2015-2016).
• Visiting Scientist - eCommerce Recommendation & Fraud Detection

• Advanced Micro Devices (2013-2014).
• Reliability Engineering Intern

Awards

• Mitacs Accelerate Industry Government Joint Research Grant (2015)
• Wallace G Chalmers Engineering Design Award (2013)
• Faculty of Applied Science Engineering Research Fellowship (2012)
• Cancer Care Ontario IDEA Challenge Development Grant (2012)
• Magna Family Scholarship (2010)