Noopur Zambare

Noopur Zambare

M.Sc. in Computer Science, University of Alberta

Posts by Collection

experience

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

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

Amazon ML Summer School’22

Amazon | Apprenticeship Program | Jul 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.

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 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, React JS

Graduate Teaching Assistant

University of Alberta | Sep 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.

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 Solving, Technical Scoping

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

Machine Learning and Software Development Research Intern

Okaki Health | Remote | Mar 2026 - Jun 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 Models, BERT, Linux

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

projects

Hospital Assistant MCP Server

  • Built an MCP server powering a multi-tool LLM agent for hospital workflow automation and clinical decision support.
  • Integrated medical APIs and a SQL-based patient database for patient lookup, lab interpretation, and risk scoring.

RetailAgent - Agentic Retail Analytics System

  • Developed an agentic analytics system enabling natural language queries over structured Statistics Canada datasets.
  • Integrated SQLite, ChromaDB, and Gemini to support retrieval-augmented reasoning and semantic search.

Multi-Agent Medical Diagnosis Chatbot

  • Designed a multi-agent LLM chatbot for clinical diagnosis using LangChain-based orchestration.
  • Implemented vector-based patient memory using Pinecone for context-aware medical conversations.

Neaural Network Pruning Algorithm

  • Designed a Neural Collapse-inspired pruning framework to improve efficiency under data imbalance.
  • Retained effective accuracy for minority classes during pruning.
  • Achieved 95% accuracy up to 60% pruning.

Progetto - Project Management Platform

  • Built a MERN stack project management web app for university use.
  • Implemented authentication with an admin portal for CRUD operations on projects.
  • Developed RESTful APIs for creating, updating, and deleting project data.

publications