About
Passionate about Artificial Intelligence and committed to making AI explainable and accessible to everyone. Experienced in leveraging Large Language Models for unsupervised topic modeling. Currently focused on driving innovation and transparency in AI solutions.
Researcher & IT Engineer
Masters graduate from University of Waterloo, Canada. Presently working in the domains - Generative AI, AI explanability, Applications of machine learning, LLMs.
- Field : Computer Science
- City: Toronto/Remote
- Country: Canada
- Degree Completed: M.Math (CS)
- Email: a3kaur@uwaterloo.ca
- Freelance: Available
Bachelor of Technology with a specialization in IT, from Indira Gandhi Delhi Technical University for Women, India. Published a C++ introductory course that has 2.5K+ active students enrolled. I was chosen as the Mentor Lead for the Delhi Government's and my university's effort to encourage STEM education among girls. In spring 2023, I participated in the highly selective (Acceptance Rate ~ 11%) Oxford Machine Learning School at the University of Oxford, UK (in-person for the ML X Healthcare track)!
Video
I was honored to be selected by NVIDIA to participate in an exclusive video highlighting the advancements in Generative AI at the NVIDIA GenAI meet-up in London, UK on 12th July 2023. Here is my interview snippet. Sincere gratitude to NVIDIA for this privilege
Video
Graduated with a Master's of Mathematics from the University of Waterloo !!!!Ye!!!! As part of my thesis project,I integrated the LLM based BERTopic to Computational Thematic Anaysis Toolkit, here is a short demo of the toolkit. (For demo purposes using NMF results)
Facts
Teaching is my passion, I have mentored more than 30 mentees in the past, working on their professional development, improving their profiles and preparing them for Mitacs internship. Previously, I mentored 20 undergrad students at UWaterloo as TA. My research interests lie in the fields of AI - Computer vision, NLP and explanability. Presently exploring the domains of Explainable AI for medical and Topic modelling. I have published an introductory course on C++ (Udemy) with 2.4K+ students.
Happy mentees TA and Mentoring
Research Projects (6 published) so far
Courses taught
Students enrolled
Skills
Programming & Scripting
Cloud & MS Platforms
Machine Learning & Data Processing
Model Deployment & DevOps
Tools & Frameworks
Resume
Link to my resume here: Resume
Summary
Amandeep Kaur
MMath (CS), Graduate Research Scholar and Graduate Teaching Assistant @ UWaterloo, Canada
- Toronto, Ontario, CA
- a3kaur@uwaterloo.ca
Education
Master of Mathematics
2022 - 2024
University of Waterloo, Canada
Completed MMath (thesis based) in Computer Science at the David R. Cheriton school of Computer Science.
- Received scholarships totaling CAD 27,500 for academic excellence as an outstanding international student at the University of Waterloo and as a former Mitacs Globalink Research Internship alumnus pursuing graduate studies in Canada.
- Here is the link to my published Thesis.
Bachelor of Technology, IT
2018 - 2022
Indira Gandhi Delhi Technical University for Women, New Delhi, India
Adviced by Prof. Rishabh Kaushal for BTech project on Polarization on Social Media. Served as the Mentor Leader in Education Mentoring Program, Advisory Board Member - ACM IGDTUW, Junior Execom Member - IEEE IGDTUW
Professional Experience
Data Scientist
Jan 2025 - Dec 2025
Manulife, Canada
- Contributed to the data science development and pilot evaluation of a GenAI-powered Claims Knowledge Bot at Manulife using Azure OpenAI, supporting requirements gathering, building RAG evaluation datasets, and analyzing pilot results that improved answer accuracy and reduced Average Handle Time (AHT).
- Engineered a Python-based automation for reporting, reducing manual processing time, achieving a 95% time reduction, 20x efficiency gain, and saving over 200+ hours annually.
- Built sentiment classification models using TextBlob and VADER to analyze multilingual survey data; categorized over 3,000 comments with >90% accuracy and integrated results into Power BI dashboards to enable executive-level feedback analysis and culture insights.
- Delivered New Joiner Experience analysis across multiple geographies using Python and Power BI, generating actionable insights for leadership, enabled segmentation by Geographical and Accountability level.
Research Experience
AI Engineer
Aug 2022 - Aug 2024
University of Waterloo, Canada
- Integrated advanced Large Language Models (LLMs) based topic modeling technique BERTopic to Computational Thematic Analysis software, using BERT embeddings to conduct unsupervised topic modeling and visualization for Reddit data.
- Optimized data collection and analysis were done using Python, reducing the preprocessing time by 70% and data loss by 80%.
Mitacs Globalink Research Intern
Jun 2021 - Aug 2021
University of Alberta, Canada
- Created a novel Explainable Artificial Intelligence (XAI) based model resulting in a dice coefficient of 97.73%, which is the second top in the test data category at the global level.
- Work published in the International Conference on Smart Multimedia 2022, held in France.
Testimonials
Accomplishments
Presented my Master's Research at RPHS Conference, 2024
Delivered a comprehensive presentation on my ongoing Master's research focusing on unsupervised topic modelling using LLMs. Addressed an audience of 200 esteemed research scholars and professors, showcasing pilot study findings and insights.
Attended the University of Oxford, Machine Learning Summer School 2023, United Kingdom
Honoured to be selected for the prestigious Oxford Machine Learning School 2023 (≈11% acceptance rate), participating in person at the University of Oxford, UK, hosted by AI for Global Goals. The intensive curriculum focused on advanced Artificial Intelligence topics.
NVIDIA Gen AI, London, UK
I had the honor of attending the NVIDIA Gen AI meetup in London, UK, where I was selected for an interview. Engaged with entrepreneurs and expanded my professional network, fostering opportunities for collaboration and growth in the dynamic field of artificial intelligence.
Presented my research work at Research and Discovery Days, Waterloo, CA
Delivered a comprehensive presentation on my research within the eXplainable Artificial Intelligence (XAI) domain, as part of the Mitacs project. Addressed an audience of 200 esteemed research scholars and professors, showcasing findings and insights. Additionally, engaged attendees through a poster presentation, actively responding to inquiries and fostering meaningful discourse.
Microsoft's Power of the Cloud 2022, Toronto, CA
Attended Microsoft's Power of the Cloud 2022 event in Toronto, delving into cloud technology and cybersecurity. Explored Microsoft's data protection measures, networked with entrepreneurs, and gained insights pivotal for leveraging cloud computing effectively in professional endeavors.
Started UWaterloo Masters program
I am pleased to announce my acceptance into the Masters of Mathematics in Computer Science program at the University of Waterloo, commencing in the fall of 2022.
AWS Summit 2022, Seattle, US
Attended Amazon Web Services (AWS) Imagine 2022 conference, held in Seattle, USA. This year's theme focused more on higher education, and how AWS is helping schools, hashtag#community colleges, and professionals/ hashtag#researchers to expand their work with powerful and efficient methodologies.
Awarded for being an Outstanding Mentor Leader
Received the Outstanding performance as a Mentor Leader award from Shri. Manish Sisodia, Deputy Chief Minister and Education Minister of Delhi, for contributions in Education Mentoring Program (EMP) aimed at raising STEM awareness amongst high-school girls.
MITACS intern 2021 @University of Alberta
As a MITACS intern at University of Alberta, 2021, worked on a cutting-edge project centered on liver segmentation in ultrasound images. Engineered an innovative Explainable Artificial Intelligence (XAI) model, yielding a remarkable dice coefficient of 97.73%, ranking second globally in the test data category.