CV
Your Sidebar Name
Summary
Currently employed at Red Brick University. Short biography for the left-hand sidebar
Education
- Ph.D in Version Control Theory2018GitHub University
- M.S. in Jekyll2014GitHub University
- B.S. in GitHub2012GitHub University
Work Experience
- Applied Scientist II Intern2026-06 -AmazonVancouver, BC. Alexa Daily Essentials team.
- Quantum Computing Curriculum Planner2025-09 - 2026-04UBC Geering Up Engineering OutreachVancouver, BC.
- Applied Scientist II Intern2025-06 - 2025-09AmazonVancouver, BC. Agentic workflows for Alexa+
- Quantum Computing Curriculum Planner2023-09 - 2025-04UBC Geering Up Engineering OutreachVancouver, British Columbia, Canada.
- Applied Scientist Intern2021-09 - 2025-04UBC Cloud Innovation CentreVancouver, British Columbia, Canada.
- Graduate Teaching Assistant2024-01 - 2024-04The University of British ColumbiaVancouver, British Columbia, Canada. CPSC 532C/554C: Topics in Artificial Intelligence: Human-Centred AI by Professor Cristina Conati.
- Quantum Computing Curriculum Planner2022-09 - 2023-04UBC Geering Up Engineering OutreachVancouver, British Columbia, Canada.
- Graduate Teaching Assistant2021-01 - 2021-04The University of British ColumbiaVancouver, British Columbia, Canada. CPSC 430: Computers and Society by Professor Kevin Leyton-Brown.
- Computer Vision Intern2020-12 - 2021-03Wikimedia FoundationConducted a literature review of existing image classification machine learning models. Curated a comprehensive dataset for training and evaluating the chosen model. Created a robust and light-weight Image Content Filtration tool for user-submitted edits (to counter vandalism attacks) using computer vision (transfer learning). Developed a RESTful API for alpha testing. Experimented with model compression techniques such as layer-based pruning and knowledge distillation. Wrote the relevant technical and non-technical documentation.
- Visiting Research Scholar2019-11 - 2020-02The University of AucklandAuckland, New Zealand. Supervisor: Professor Helen Sword. Conducted an extensive study on researcher development frameworks and initiatives across research-intensive universities around the world. Drew parallels on features and development solutions for research between ECRs and PGRs. Developed a thorough scoring system that takes into account broad categories of researcher development activities. Performed data analysis to draw inferences and lay out conclusions.
- Artificial Intelligence Intern2019-06 - 2019-07Tech MahindraBengaluru Area, India.
- Undergraduate Research Assistant2018-12 - 2019-01National University of SingaporeSingapore. Area of work: Big Data Analytics using Artificial Neural Networks. Worked on the Driver Distraction Detection problem using video feeds to develop a binary classifier. Tested custom CNNs with transfer learning for classification. Used image filtering and feature extraction techniques using R and Python.
Publications
- Paper Title Number 12009
- Paper Title Number 22010
- Paper Title Number 32015
- Paper Title Number 42024
Presentations
- Talk 1 on Relevant Topic in Your Field2012UC San Francisco, Department of TestingSan Francisco, CA, USA
- Tutorial 1 on Relevant Topic in Your Field2013UC-Berkeley Institute for Testing ScienceBerkeley, CA, USA
- Talk 2 on Relevant Topic in Your Field2014London School of TestingLondon, UK
- Conference Proceeding talk 3 on Relevant Topic in Your Field2014Testing Institute of America 2014 Annual ConferenceLos Angeles, CA, USA
Teaching
- Teaching experience 12014University 1, DepartmentRole: Undergraduate course
- Teaching experience 22015University 1, DepartmentRole: Workshop
Portfolio
- Portfolio item number 1
