Jul 2022 – May 2024 · 1 yr 10 mos · Bengaluru, Karnataka, India

Sep 2019 – Apr 2022 · 2 yrs 7 mos · Montreal, Canada Area

• Worked on two main projects:
• 1. Multi‑Agent Reinforcement Learning to achieve Cooperation between Agents.
• 2. Systematic Generalization in Neural Networks.
• Abandoned the PhD programme.

Nov 2015 – Aug 2019 · 3 yrs 9 mos · Bengaluru Area, India

• I am currently working in the Cognitive Solutions and Services Group. Projects in this group heavily rely on Machine Learning algorithms for natural language processing and image understanding. This group is closely working with IBM Watson and building intelligent solutions around it applicable to different domains like Healthcare, IT, Finance, Retail, etc.
• As part of my responsibilities, I am currently working on exploratory projects which will have high impact in terms of furthering the capabilities of Artificial Intelligent systems.
• Domains: Machine Learning, NLP, Deep Learning, Image Understanding, Information Retrieval.

Nov 2014 – Nov 2015 · 1 yr · Bengaluru Area, India

• Associated with the Click Prediction Team in Bing Ads Relevance and Revenue(RnR) Group. Responsibilities include exploratory research to improve prediction for an imbalanced data problem like click prediction. In addition, perform regular experimentation and development for periodic enhancements to the Click Prediction System.
• Domain: Machine Learning, Ranking, Recommender Systems, Game Theory, Data Analysis, Large Scale Data Engineering.

Aug 2013 – Oct 2014 · 1 yr 2 mos · Bengaluru Area, India

• Working in the Relevance (Ranking) and Revenue team for Microsoft Bing Ads. Responsibilites include development and experimental research on Click Prediction Model(s) using state-of-the-art Machine Learning Algorithms.
• Technologies: C#, Scope, Cosmos(Hadoop).
• Expertise: Machine Learning, Ranking, Big Data, Map-Reduce.
• Leadership: Lead Supervisor on behalf of Microsoft for TagMe 2014 (A Machine Learning Programming Contest) in association with IISc, Bangalore. The Competition ended having more than 1200 registered teams from all over India.

Aug 2011 – Jul 2013 · 1 yr 11 mos · Bengaluru Area, India

• RESEARCH INTEREST: Machine Learning, Data Mining, Information Retrieval, and Ranking Algorithms.
• PROJECTS:
• 1. Machine Learning and Rank Aggregation Methods for Gene Prioritization from Heterogeneous Data Sources.
• 2. Literature Survey on diversification of results in Ranking for Information Retrieval.
• 3. Game Theory Project: Use of Prediction Markets and Proper Scoring Rules to predict the champions of Indian Premiere League 2012.
• LEADERSHIP: Organizing Lead for TwitMiner 2013 (To my knowledge the second nation-wide Machine Learning Contest in India) in association with Amazon.com.

May 2010 – Jul 2011 · 1 yr 2 mos · Chennai Area, India

• Digital Platform - Technology : Pricing of Amazon Kindle eBooks and other digital products
• Technologies: Java, Spring Framework, Hibernate, Oracle(SQL), Linux OS, C++, Shell scripting.
• Domains: Real-time Distributed Systems, Cloud Computing, Database Systems.