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Hi, I’m Arjun Vaithilingam Sudhakar 👋

Currently, I am in the second year of my Ph.D. studies at the Mila-Quebec AI Institute under the supervision of Professor Sarath Chandar in Montreal, Canada. I also hold a Master’s degree from Mila and the University of Montreal, where I focused on machine learning. Prior to my Ph.D., I worked as a Machine Learning Engineer for three years at Wipro and as a Research Scientist Intern at Hydro Quebec, which is a government organization in Quebec, Canada.

PhD Focus: My research centers on the intersection of Reinforcement Learning (RL) and Large Language Models (LLM). While RL exhibits sample inefficiency, LLM boasts general-purpose knowledge but falls short in planning and sequential decision-making. My objective is to seamlessly integrate both paradigms to enhance the capabilities of general-purpose agents, equipping them with superior decision-making prowess.

Research Interest : Reinforcement learning, Natural language processing

Links : Google Scholar , Linkedin , Github

Education

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Quantum, Montreal, Quebec
Job Title: Research Assistant (Full Time)

Timeline: March 2023 - September 2023

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Mila - Quebec AI Institute, Chandar Lab
Job Title: Research Assistant (Full Time)

Timeline: August 2021 - August 2022

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Hydro Quebec, Montreal, Quebec
Job Title: AI Research Intern (Full Time(May - Aug), Part Time(Sep - Jan))

Timeline: May 2021 - January 2022

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Wipro Technologies, India
Job Title: Machine Learning Engineer(Full Time)

Timeline: October 2017 - July 2020

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Language Model-In-The-Loop Data Optimal Approach to Learn-To-Recommend Actions in Text Games
Arjun Vaithilingam Sudhakar, Prasanna Parthasarathi, Janarthanan Rajendran, Sarath Chandar

arXiv, 2023

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Feature diversity in self-supervised learning
Pranshu Malviya*, Arjun Vaithilingam Sudhakar*

Conference on Lifelong Learning Agents (CoLLAs)-2022 - Workshop Track

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Multi Label Deep Learning classification approach for False Data Injection Attacks in Smart Grid.
Prasanna Srinivasan V., Balasubadra K., Saravanan K, Arjun Vaithilingam Sudhakar, Malarkodi S.

KSII Transactions on Internet & Information Systems - Journal

Lab Manager, Chandar Research Lab, Mila - Quebec AI Institute

August 2021 - Present

  • Oversaw successful submission of proposals like Google teaching proposal and CIFAR.
  • Improved lab functioning through new systems.
  • Formed a cost-effective web development team through outsourcing, saving research time and increasing lab visibility.

    • Local Area Chair, CoLLAs2023

    December 2022 - August 2023

  • Overseen and synchronized all aspects of the conference, including managing meetings, planning, and executing the event.
  • Additionally, I lead a team of 5 to ensure a smooth and successful outcome.

    • Organizing Committee, CoLLAs2022

    December 2021 - August 2022

  • I efficiently managed meetings, accommodation, website, and dining arrangements to ensure a seamless and well-coordinated conference experience.

    • Toastmasters International (Nonprofit Educational Organization)

    April 2018 - Present

  • Led 150+ members in District 92 of Toastmasters Int'l, managing multiple business units across different locations.
  • Persuaded CXO to implement a $25,000 USD/yr membership reimbursement program (pilot) across Wipro.
  • Increased club strength from 4 to 40 members in under a year, and organized a 100+ audience milestone event and club contests for public speaking.

    • Teaching Assistant at AI4Good - Machine Learning

    June 2022 - July 2022

  • Guided and mentored underprivileged female students in Machine/Deep Learning, teaching math, ML/DL/RL.
  • Mentored capstone project on Emotive Application using ML/DL over 4 weeks.

    • Teaching Assistant at Polytechnique Montreal - Machine Learning- INF8245E

    September 2021 - December 2021

  • Proposed and led math and python tutorials for students, including linear algebra and scikit.
  • Delivered lectures in-class and online. Kept track of student feedback for course improvement.

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