Experience
Phair Lab | May 2025 - ongoing - Working on designing efficient, fair de-identification algorithms for clinical text.
- Developing scalable inference pipelines optimized for processing millions of healthcare notes.
- Developing clinical information retention metrics using BERT for de-identified medical text.
May 2025 - July 2025 - Translated business problems into ML problem statements and solution scopes.
- Conducted research and literature reviews to assess feasibility and risks.
- Supported solution validation, focusing on interpretability and deployment.
Graduate Teaching Assistant - CMPUT 200 | Sept 2024 - Dec 2024 - Worked as TA for CMPUT 200 - Ethics of Data Science and AI (Fall 2024 & Winter 2025).
- Conducted office hours, labs, grading assignments and exams, solving student queries, etc.
Research Internship | Calgary, Canada | May 2023 - August 2023- Project: Return on Investment (ROI) of Data Analytics
- Used NLP, Active Learning and requirements dependency extraction to construct a full framework to estimate ROI
- Hosted the application on AWS EC2 and implemented CodePipeline to automate the deployment procedure
- Business Impact: Highlighted possible ROI under several circumstances, potentially helping the business to manage resources and prioritise data-driven plans.
- Tech Stack: Deep Learning, Machine Learning, Data Science, NLP, Cloud Computing (AWS), React JS, Flask
Machine Learning Internship | India | June 2022 - July 2022- Conducted data preprocessing, feature engineering, and model evaluation on large text datasets.
- Enhanced text analytics pipelines and improved customer intent recognition models.
- Tech stack: Machine Learning, Deep learning, NLP, Spacy, Textacy
Amazon | Apprenticeship | July 2022 - Competed with the engineering students in India in programming skills, logical reasoning, mathematics and machine learning assessments and was selected among the top few students for this training session
- Hands-on: Deep Neural Networks, Sequential Models, Unsupervised Learning, Causal Inference & Reinforcement Learnin
