Hello, It's
I'm interested in designing, developing, and evaluating AI-driven tools and user interfaces, especially for education and healthcare domains—emphasizing inclusivity, accessibility, and real-world impact.
Areas of Expertise
Data Science & ML
Predictive modeling, statistical analysis, and machine learning algorithms to extract meaningful insights from complex datasets—paired with effective data visualization to communicate findings clearly and drive informed decisions.
HCI & UX Design
Creating immersive and accessible user interfaces that consider diverse user needs through thoughtful design principles.
NLP & AI Systems
Natural Language Processing and AI-driven tools that enhance communication and understanding between humans and machines.
Technical Skills
Featured Projects
AirSpell: AI Finger Drawing App
A React-based interactive web app that uses TensorFlow.js to let users draw in the air with their index finger — no mouse, touchscreen, or stylus needed. Designed for children’s spelling practice and inclusive HCI experiences.
Chrome Extension: Smart Text Enhancer
AI-powered in-page text transformation — simplify, translate, summarize, rephrase, and revert on any webpage.
AI-Powered Web App: Scholarly Snap Assistant
A web application that captures audio, transcribes it, and generates LLM-based summaries.
ML/DL: Stock Market Prediction Analysis
Predicting stock price movements using Random Forest and LSTM models.
GIS: Sensor Data Mapping
An R script for spatial analysis of sensor measurements along road segments.
Web Scraping: LinkedIn Data Scraper
Automated LinkedIn profile data extraction using Selenium.
NLP/ML: Insights into ChatGPT Research
Scraped and analyzed research papers on ChatGPT, identifying key trends and topics.
NLP/ML: Social Media Analysis of ChatGPT
Scraped and analyzed Twitter and Reddit data on ChatGPT, using sentiment analysis and topic modeling to uncover community insights.
NLP/ML: Literature Review Assistant
An AI-powered tool to automate and assist the literature review process using LLMs.
Bioinformatics: DGE Analysis
Exploring gene expression changes in a neurodegenerative model.
Publications
Navigating Canadian Renewable Energy Landscape through Bibliometric and Machine Learning Insights
Combining NLP-driven topic modeling with interactive bibliometric analysis, this study uses AI-driven methods to uncover research trends, gaps, and policy opportunities in Canada’s renewable energy landscape—highlighting how human-centered data tools can inform national sustainability goals.