Flickr
Web app that resolves online epileptogenic visual content with real-time luminance frequency analysis.
About
Aspiring Computer Science and Data Science professional with experience in machine learning, software engineering, and data analytics. Proven track record of building scalable AI solutions and leading technical projects.
Experience
2026 — Current
AI and Software Development Intern at WovV Technologies
Engineered a full-stack, object-oriented forecasting engine in Python, achieving a 2% error rate. Built a scalable analytics pipeline and deployed a modular Streamlit GUI to boost stakeholder adoption.
2025 — 2025
Founding Machine Learning Engineer at University of Pennsylvania
Founded SleepSafe, a low-cost ML system for automated respiratory illness detection via breath-sound analysis. Implemented a Conv2D architecture in Keras to achieve strong generalization on unseen patient data.
2024 — 2024
Artificial Intelligence Intern at NUS School of Computing
Built a supervised ML pipeline for churn prediction on 7K+ records, automating data cleaning and preprocessing. Led a 5-person team to a #1/42 program ranking.
2022 — 2023
Independent Published Researcher at Government College Kota
Conducted independent ML research on wind-speed forecasting for renewable energy. Published a 9-page paper in the International Journal of CS&E.
Projects
Axiom
Hybrid PII-detection engine pairing regex pattern-matching with on-device Gemma 3 for context-aware redaction.
Blossom App
Cross-platform Flutter app for NGO-volunteer matching with real-time data sync via Firebase.
Education
2025 — 2028
BS in Computer Science and Data Science in Computer Science and Data Science at University of Wisconsin-Madison
Skills
PythonJavaC++JavaScriptTypeScriptSQLReactNode.jsFlutterTensorFlowPyTorchAWSGoogle Cloud PlatformFirebaseMachine LearningData Analysis
Awards & Recognition
2026
Honorable Mention from MadData 2026 Hackathon
Awarded for the Flickr project among 200+ participants.