Rudraksh Kapil Email & Phone Number

Toronto, Ontario, Canada

Building ML models for Trust & Safety and Content Quality.

Edmonton, Alberta

Built machine learning-enabled tools and software for remote sensing data.* Developed an Ash Tree detection model using YOLOv8 and transfer learning, applied to a city-wide orthomosaic of Edmonton.* Developed an open-source tool to project bounding boxes between nadir drone images and orthomosaics in GIS (as ESRI shapefile).

Edmonton, Alberta

🚀 Hired & promoted at the end of the internship!Analysed multi-modal geospatial drone data using Python and state-of-the-art Machine Learning models to extract useful, actionable insights for forest health management.

Edmonton, Alberta, Canada

3 first-author papers on deep learning and ML-based computer vision applied to multi-modal (RGB & thermal/infrared) drone imagery for forest health monitoring. * Conducted novel, multi-disciplinary research as a part of two different research groups and published 3 first-author research papers at top venues.

Edmonton, Alberta, Canada

Lead the Content Support Team of 5 TAs by delegating tasks, mentoring first-time TAs, conducting regular team meetings, and evaluating the progress of team members, along with carrying out typical TA duties myself as well such as creating content, grading assignments, and providing constructive feedback to students in one-on-one settings. CMPUT 174.

Edmonton, Alberta, Canada

Graded assignments, delivered lab demonstrations, and assisted in various other aspects of teaching the following undergraduate courses over three terms (1 year total). CMPUT 175 - Foundations of Computation II (in Python)CMPUT 206 - Introduction to Digital Image ProcessingCMPUT 350 - Advanced Games Programming

* Led the development of four mobile games published on the android & iOS stores, each with over 1000 downloads within the first few weeks* Developed proof-of-concept demos for PC and Virtual Reality (VR) games showcased at Startup Tech Fairs in Hyderabad, India.* Managed the programming team at this student-led startup incubated at National Institute of.

Hyderabad, Telangana, India

* Developed a model to enrich metadata of products in internal database through automated colour classification and tagging. * Built the colour detection and classification product as a part of the OCE Smart Content team* Chosen as one of only three interns to present my work publicly to the CEO and the entire US development and recruitment teams.

Master Of Science - Ms, Computer Science, 4.0/4.0

Thesis Title – "Advancing Forest Health Monitoring: Harnessing the Power of Deep Learning Computer Vision for Remote Sensing Applications".

Bachelor Of Technology - Btech, Computer Science, 8.87/10

Graduated First Division with Distinction.