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, Bandit Learning etc.)
• Sequential Decision Making (Monte Carlo Tree Search, Simulation etc.)
• Multi-Agent Competitive Games (Equilibrium Computation, Mechanism Design etc.)

From an application perspective I conduct research in Applied Economics, in areas such as,

• Competitive Supply Chains (Inventory Control, Newsvendor Models)
• Revenue Management (Dynamic Pricing, Oligopoly Analysis)

My research goals contain a mix of theoretical analysis and empirical algorithmic results. Furthermore, I have experience in building production grade machine learning pipelines at scale for eCommerce 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

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

• Loblaw Digital (2018-2020).
• Data Scientist - Demand Forecasting & Customer Fulfilment

• StackAdapt (2016-2018).
• 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)