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Software Engineer | M.S. in Computer Science | Experienced in backend, full-stack, and cloud development | Building scalable, production-ready applications
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University Of Southern California
Data Scientist
June 29, 2026 – Present
clinical_trials_query_to_visualization_agent
June 29, 2026 – Present
clinical_trials_query_to_visualization_agent — GitHub repository
View Projecttranscribe-ai
August 17, 2025 – December 12, 2025
Chrome extension that captures audio from browser tabs and provides real-time transcription with a user-friendly sidepanel interface
View ProjectCSCI544-Named_Entity_Recognition_with_Deep_Learning
March 26, 2024 – April 4, 2024
BiLSTM for predicting NER tags and BiLSTM- CNN to harness character-level information, further refining the model's ability to discern intricate entity patterns.
View ProjectCSCI544-Predicting_Part_of_Speech_tag
March 26, 2024 – March 26, 2024
Part-of-Speech Tagging with Hidden Markov Models (HMMs)
View ProjectCSCI544-Sentiment_Analysis
March 25, 2024 – March 26, 2024
Text classification for sentiment analysis with Amazon reviews, focusing on kitchen products.
View ProjectCSCI544_NLP_Project
March 24, 2024 – January 9, 2025
Improved Logical Reasoning of Language Models via Differentiable Symbolic Programming
View ProjectCSCI567_Machine_Learning_Project
March 20, 2024 – January 9, 2025
Spring 2024 CSCI 567 Machine Learning Project
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic and personal, indicating a strong interest in learning and applying data science concepts. The diversity of projects, including NLP, machine learning, and even web development (transcribe-ai, portfolio), suggests a broad technical curiosity. However, the lack of professional experience beyond a current 'Data Scientist' role at a university (with a future start date) means there's limited evidence of real-world team collaboration or industry practices. The target role is 'Data Scientist', which aligns well with the academic projects.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.