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Virginia Tech
Data Scientist
June 28, 2026 – Present
poker-player-profiling
April 7, 2026 – Present
poker-player-profiling — GitHub repository
View Projectinstruction-vs-preference-alignment
November 8, 2025 – December 22, 2025
An end-to-end study of instruction and preference alignment for large language models. Includes SFT, DPO/RLHF training pipelines, curated datasets, and evaluation of alignment performance.
View Projectmemora-by-bonvoy
October 12, 2025 – October 15, 2025
AI-driven travel companion that features personalized recommendations via OpenAI embeddings, secure Supabase backend with 20+ RLS policies, and real-time guest-journey analytics for loyalty engagement
View Projectfr-legitimacy
August 28, 2025 – December 22, 2025
End-to-end, reproducible research pipeline analyzing how facial-recognition companies frame and legitimize their technologies over time. Combines large-scale web scraping, Wayback Machine archives, BERTopic modeling, and corporate framing analysis to produce interpretable insights and visualizations.
View Projectschema_drift_agent
July 8, 2025 – August 14, 2025
Prototype agent that detects schema drift in Delta Lake tables and uses a Large Language Model (LLM) to generate code suggestions that resolve the drift.
View Projectdata_career_dashboard
May 22, 2025 – May 29, 2025
Built with Python, this project helps aspiring data scientists explore career trends and plan their paths.
View Projectreal_estate_analyzer
September 14, 2024 – Present
Web application designed to predict property prices based on a variety of factors such as location, house size, number of bedrooms, and more.
View Projecth4y_partner
April 10, 2021 – January 6, 2025
A user-friendly mobile app designed to connect customers with local professionals in various service categories. This is the professional's side of the app. The customer's side of the app can be accessed using the link below:
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards research and practical application of data science, which could align well with a culture that values innovation and problem-solving. However, the diversity of technologies in some projects (e.g., 'poker-player-profiling' with Wolfram Language, Max, Squirrel, Awk, HLSL) suggests a broad, potentially unfocused exploration rather than deep specialization, which might require clarification regarding their primary interests and focus areas for a specific team culture. The current experience at Virginia Tech as a Data Scientist is a positive indicator for role alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.