CV

Ph.D. in Biomedical Engineering

Polytechnique Montréal, Montréal, Canada

• Title (tentative) - Deep learning for medical image segmentation.
• Supervisors - Prof. Julien Cohen-Adad, Prof. Sarath Chandar.
• Current GPA - 4.0/4.0

M.A.Sc in Electrical Engineering

Ecole de Technologie Supérieure, Montréal, Canada

• Thesis - Unsupervised Three-dimensional Segmentation of Scoliotic Spines from MR Volumes with Uncertainty Estimation.
• Supervisors - Prof. Catherine Laporte, Prof. Farida Cheriet.
• Honours - Governor General of Canada’s Gold Medal, Best Thesis Award
• GPA - 4.3/4.3

B.Tech in Electronics and Communication Engineering, Minor in Mathematics

Shiv Nadar University, Greater Noida, Delhi-NCR, India

• Thesis - Extraction and Visualization of the Features of Fingerprints using Conventional Methods and Convolutional Neural Networks
• GPA - 9.19/10.00

Graduate Teaching Assistant, INF8245E - Machine Learning

Polytechnique Montréal, Montréal, Canada

• Responsible for designing a coding assignment on introductory machine learning concepts including k-Nearest Neighbours, Bayes Classifier and Logisitic Regression.

Graduate Teaching Assistant, IFT6135 - Learning Representations

University of Montréal/Mila, Montréal, Canada

• Responsible for designing assignments on deep generative models and self-supervised learning.

Teaching Assistant, Deep Learning Summer School

Neuromatch Academy

• Responsible for teaching a 3-week course on deep learning to a group of 10 graduate students.
• Topics ranged from basic (Multilayer Perceptrons, Optimization) to advanced (Reinforcement, Continual, and Self-supervised Learning). Complete syllabus can be found here.

• UNIQUE Excellence Scholarship
• UNIQUE Conference Travel Grants

• FRQNT Doctoral Research Scholarship
• Governor General of Canada’s Gold Medal