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Resume
Experience, projects, and technical background.
A concise overview of my software engineering, applied AI, machine learning, and data systems work.
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Target Roles
Software Engineering, Applied AI, Machine Learning, Data Systems, and product-facing technical roles.
Core Stack
Python, TypeScript, React Native, Next.js, PyTorch, scikit-learn, Firebase, PostgreSQL, and Vercel.
Selected Work
VenueMatch, autonomous racing-line optimization, LLM financial research, and the residential real estate prediction system.
Project Highlights
VenueMatch → recommendation systems, live data, scheduled ingestion, and deployed product engineering.
Autonomous Racing Line Optimizer → simulation, imitation learning, robustness testing, and failure analysis.
LLM Financial Research Assistant → source grounding, hallucination analysis, and output validation.
Residential Real Estate AI Prediction System → predictive modeling, feature engineering, and client-facing analytics.
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Recommendations & Recognition
Fortune Business Insights documentation.
Internship completion documentation and recommendations from leaders at Fortune Business Insights.
Internship Completion Certificate
Assistant Manager - Human Resources
Confirms completion of the Market Research internship and the month-long CEO shadowing assignment.
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Executive Recommendation
Chief Executive Officer
Recognizes strategic curiosity, professionalism, and the ability to connect technical detail with business objectives.
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Research Recommendation
Manager - Research
Documents independent report writing, analytical rigor, consulting support, and collaborative execution.
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Team Lead Recommendation
Team Lead - ICT
Highlights curiosity, precision, responsiveness to feedback, and the ability to connect computer science with business applications.
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