Computer Science Lecturer | University of Toronto, DCS, UTIAS Jan 2021 - Present

• Lectured 1000+ undergraduate students across 7 courses covering topics in Algorithms, Data Science, Supervised/Unsupervised Learning, Reinforcement Learning, Probabilistic Reasoning, Computer Vision

• Exceeded departmental performance in course evaluations and achieved 5/5 overall instructional quality

Computer Vision Research Assistant | Bernhardt-Walther Lab Apr 2020 - Sep 2021

• Trained 2 CNN models using OpenCV and PyTorch powering a new edge-detection algorithm that achieved an F1 score 1.5x higher than existing models such as gPb and DexiNed

• Used the models to develop a novel inpainting algorithm and published the results within paper titled “Contour-guided Image Completion with Perceptual Grouping” in the British Machine Vision Conference (BMVC) of 2021

Software Engineer | Coursera Sep 2019 - Sep 2020

• Led a team of 8 engineers in building a robust payment system for Coursera’s enterprise suite, supporting global currencies, tailored promotions, discounts, and custom financial solutions, serving 50+ organizations

• Engineered and maintained over 20 RESTful APIs in Scala, leveraging Jenkins for CI/CD operations and utilizing SQL to handle complex database operations, ensuring efficient and scalable backend functionality

Intelligent Ground Vehicle Competition RobotMay 2019 - Dec 2020

• Designed 2 CNN models to identify common road obstacles given 3D point-clouds from LIDAR sensors to augment Simultaneous Localization and Mapping (SLAM) algorithms

Generative Deep Learning Model for InstrumentalsMay 2018 - Dec 2019

• Trained an RNN model to generate instrumentals for a vocal track for up to 30 seconds

MSc Computer Engineering | University of Toronto

• Research areas included: Game Theory, Control Systems, Reinforcement Learning, Autonomous Vehicles

BSc Computer Engineering | University of Toronto

• Relevant courses include: Machine Learning, Artificial Intelligence, Deep Learning

• Machine Learning in Production (MLOps) | DeepLearning.AI

• Machine Learning Specialization | DeepLearning.AI

• C. Gummaluru. "A Game-Theoretic Approach to Analyzing Transit Systems with Autonomous Vehicles." Master's Thesis

• M. Rezejenejad, S. Gupta, C. Gummaluru, R. Marten, J. Wilder, et al. "Contour-Guided Image Completion with Perceptual Grouping," British Machine Vision Conference, 2021

• Department of Computer Science | University of Toronto

  • CSC384: Artificial Intelligence (Winter 2022, Summer 2023, Winter 2024)

  • CSC311: Machine Learning (Winter 2023)

  • CSC420: Image Processing (Winter 2021)

• Institute for Aerospace Studies | University of Toronto

  • ROB311: Reinforcement Learning (Winter 2023, Winter 2024, Winter 2025)

  • ROB310: Mathematics for Robotics (Fall 2024)