Hello, this is
My research focuses on designing AI-driven tools and interactive systems that support learning, communication, and decision-making across diverse domains. I'm currently investigating how multimodal input, embodied interaction, and adaptive visualizations can make complex technologies more intuitive and accessible, and how human–AI collaboration can augment rather than replace human expertise.
Alongside this research, I have collaborated with academic and community partners on projects that integrate data-driven models with real-world needs in education, healthcare, and sustainability. These experiences shaped my commitment to building systems that amplify human creativity and insight, combining systems design, data visualization, and human-centered methods to create tools that are inclusive, impactful, and grounded in practice.
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
SceneSketch: AI-powered eBook Reader
An AI-powered eBook reader that allows users to highlight text passages and instantly generate scene illustrations, blending generative AI with literary exploration, with a goal of investigating how multimodal augmentation can support reading engagement and comprehension.
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.