Experience
Graduate Research Assistant Fellow
Phair Lab, University of Alberta | May 2025 - Present - Used PEFT fine-tuning to design robust clinical text de-identification models using Hugging Face, Docker, and MLOps practices.
- Contributed to a multi-stage document processing pipeline integrating OCR with LLM/VLM-based fallback systems for improved robustness.
- Built scalable ETL pipelines for large-scale clinical document ingestion, transformation, and structured data extraction.
- Tech Stack: PyTorch, Hugging Face Transformers, Docker, LLMs, MLOps, ETL Pipelines.
Machine Learning and Software Development Research Intern
Okaki Health | Remote | Mar 2026 - June 2026 - Developing clinical data de-identification systems to enhance patient privacy across large-scale healthcare datasets.
- Optimizing inference pipelines for BERT-based models to enable scalable and low-latency PHI detection and masking.
- Tech Stack: PyTorch, Hugging Face Transformers, BERT, Docker, Linux.
Project Validation
Work In Learning Opportunity | Alberta Machine Intelligence Institute | Edmonton, Canada | Feb 2026 - Mar 2026 - Advised the design of an AI-driven multi-modal clinical decision support system, focusing on system architecture and clinical applicability.
- Guided model and system selection by evaluating trade-offs between accuracy, latency, and computational cost across the ML stack.
- Tech Stack: Transformer Models, Multimodal Learning, System Design.
Project Validation
Work In Learning Opportunity | Alberta Machine Intelligence Institute | Edmonton, Canada | May 2025 - Jul 2025 - Translated real-world business problems into well-defined machine learning problem statements and solution scopes.
- Conducted comprehensive literature reviews and feasibility analyses to assess technical viability and implementation risks.
- Tech Stack: Machine Learning, Research Analysis, Problem Formulation, Technical Scoping.
Graduate Teaching Assistant
University of Alberta | Sept 2024 - Dec 2024 - Served as Graduate Teaching Assistant for CMPUT 200: Ethics of Data Science and Artificial Intelligence.
- Conducted office hours and lab sessions, supporting students with conceptual understanding and coursework challenges.
- Evaluated assignments and exams, providing structured feedback to enhance student learning outcomes.
- Strengthened skills in communication, time management, and collaborative academic instruction.
MITACS Globalink Research Internship
University of Calgary | Calgary, Canada | May 2023 - Aug 2023 - Developed a framework to estimate Return on Investment (ROI) of data analytics using NLP, active learning, and requirement dependency extraction techniques.
- Designed and deployed a full-stack web application on AWS EC2 with automated CI/CD using AWS CodePipeline for scalable deployment.
- Evaluated active vs passive learning strategies to improve predictive performance and model robustness in ROI estimation tasks.
- Delivered business insights enabling better resource allocation and prioritization of data-driven initiatives under varying ROI scenarios.
- Tech Stack: Python, NLP, Deep Learning, Machine Learning, AWS (EC2), Flask, ReactJS.
Amazon ML Summer School’22
Amazon | Apprenticeship Program | July 2022 - Selected among top-performing candidates nationwide through competitive assessments in programming, logical reasoning, mathematics, and machine learning.
- Gained hands-on exposure to Deep Neural Networks, Sequential Models, Unsupervised Learning, Causal Inference, and Reinforcement Learning.
Machine Learning Intern
AutomationEdge | India (Remote) | Jun 2022 - Jul 2022 - Developed and optimized text preprocessing and feature engineering pipelines to improve NLP model performance.
- Enhanced text analytics systems, improving accuracy of customer intent recognition models.
- Tech Stack: NLP, scikit-learn, Feature Engineering, Text Analytics.
Data Science Intern
AutomationEdge | India (Remote) | Dec 2021 - Jan 2022 - Developed and deployed an intelligent chatbot using Microsoft Bot Framework Composer integrated with Azure knowledge bases.
- Automated FAQ resolution workflows using NLP-driven intent detection, reducing manual customer support effort.
- Tech Stack: Microsoft Azure, Microsoft Bot Framework Composer, NLP
