Overview
Work History
Education
Skills
Timeline
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Chandra Gummaluru

Toronto,ON

Overview

5
5
years of professional experience

Work History

Researcher in Artificial Intelligence

University of Toronto
01.2022 - 01.2024
  • Developed a new mathematical framework (using reinforcement learning) to simulate microscopic routing decisions of self-interested autonomous vehicles and simulate the resulting macroscopic traffic models
  • Used open data to train a deep-learning model in TensorFlow to estimate travel demand patterns within the City of Toronto with 98% accuracy
  • Ran computer simulations using a custom Python library to demonstrate how the framework can be applied to reduce commute times by 25% within the City of Toronto

University Lecturer in Machine Learning

University of Toronto
01.2021 - 01.2024
  • Taught 1000+ undergraduate students across 6 courses covering topics in Artificial Intelligence, Machine Learning, Statistics, and Robotics (including: Markov Decision Processes, Reinforcement Learning, Game Theory, Supervised/Unsupervised Learning, Neural Networks, Bayesian Inference, Computer Vision, and Path Planning)
  • Served as a course coordinator and managed over 20 teaching assistants
  • Received course evaluations that consistently exceeded departmental averages and a 5/5 overall instructional quality on RateMyProfessor

Research Assistant in Computer Vision

University Of Toronto
06.2020 - 06.2021
  • Co-authored a paper with the Bernhardt-Walther Lab, presenting a new algorithm that automatically completes missing or occluded outlines of images
  • Trained 2 new CNN models using OpenCV and PyTorch (with CUDA) to perform in-painting from an incomplete image and a complete outline

Navigation and Path Planning Lead

University of Toronto Robotics Association
01.2019 - 01.2021
  • Led a team of 10+ students in developing path-planning and obstacle-avoidance algorithms using the Robot Operating System (ROS) for the 2021 International Ground Vehicle Competition (IGCV)
  • Trained 2 CNN models to identify common road obstacles given point-clouds from LIDAR sensors to augment a Simultaneous Localization and Mapping (SLAM) algorithm

Software Engineer

Coursera Inc.
01.2019 - 01.2020
  • Led a team of 8 engineers in developing a payment system in Scala to support international transactions for Coursera's enterprise product, used by 50+ organizations
  • Wrote and maintained 20+ RESTful APIs to enable sales teams to provide promotions and discounts to their clients
  • Provided 50+ pages of detailed technical design documents to guide engineers in implementing the system and non-technical summaries for key stakeholders

Education

Master of Science - Artificial Intelligence And Robotics

University of Toronto
Toronto

Bachelor of Science - Electrical And Computer Engineering

University of Toronto
Toronto

Skills

  • Python (12 yrs)
  • Java (10 yrs)
  • C/C (8 yrs)
  • NumPy / SciPy (10 yrs)
  • PyTorch with CUDA (5 yrs)
  • OpenCV (5 yrs)
  • Scala (4 yrs)
  • RESTful APIs (3 yrs)
  • TensorFlow (3 yrs)
  • Keras (2 yrs)
  • Pandas (2 yrs)
  • SQL (2 yrs)
  • R (2 yrs)

Timeline

Researcher in Artificial Intelligence

University of Toronto
01.2022 - 01.2024

University Lecturer in Machine Learning

University of Toronto
01.2021 - 01.2024

Research Assistant in Computer Vision

University Of Toronto
06.2020 - 06.2021

Navigation and Path Planning Lead

University of Toronto Robotics Association
01.2019 - 01.2021

Software Engineer

Coursera Inc.
01.2019 - 01.2020

Master of Science - Artificial Intelligence And Robotics

University of Toronto

Bachelor of Science - Electrical And Computer Engineering

University of Toronto

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Chandra Gummaluru