As team owner and sole active engineer for synergy-minds, I independently built the entire Fraud Detection & Credit Default Prediction pipeline — two real-world ML tasks evaluated on Macro-F1, balancing precision & recall for minority risk classes.

The high score from the Retail Banking track anchored our team in the Top 10 overall on the global competition leaderboard.

📬 IEEE ICHI 2026 Workshop: As a Top 10 team, we received an exclusive invitation to submit to the AgentDS Healthcare Data Challenge Workshop — a recognition of our pipeline quality. Submission in consideration.

Engineered a retail banking fraud detection system that secured the #1 state ranking by implementing advanced feature engineering and predictive scoring to identify high-risk anomalies.

Managed end-to-end development including raw data ingestion, predictive analysis, and technical logic verification for high-integrity financial modeling.

Achieved a perfect 5.0/5.0 score for Innovation & Data Integration by synthesizing diverse healthcare datasets to identify geographic "blind spots" in burn care access across Minnesota.

Navigated high-pressure team dynamics and repository management to ensure project quality and technical transparency for impactful public health analysis.

Returned to school after 7 years at USPS, maintaining a 3.9 GPA not just to learn to code — but to learn how to build bridges between powerful AI tools and the communities that need them.

From garage openers to smart home voice control with Alexa — I handle it myself before ever calling a professional. Each project is a new skill learned.

Before hiring anyone, I always ask: "Can I learn this?" Paving a full driveway with complete asphalt and paver integration was one of those challenges I took on myself — saving money and gaining skills.

This same mindset drives my technical work: I learn the hard thing first, then build on it. Whether it's a new ML framework, a hardware repair, or asphalt — ground truth matters.

The deck has been repainted 3 times — Red, White, and Grey — each time refining the process, the technique, and the result. Never the same twice; always better.

Like data science work: the first model is rarely the best. Iteration, refinement, and hands-on learning make the difference.

Awarded as a match to recognize recipients of institutional and external scholarships. This matching scholarship from Students United amplifies the value of other scholarship awards.

Multi-year national award recognizing academic excellence and community impact among Asian American, Native Hawaiian, and Pacific Islander (AANHPI) students at Minority Serving Institutions (MSIs).

Merit-based scholarship awarded through the Metropolitan State University Foundation, supporting students with demonstrated academic achievement.

Endowed scholarship recognizing academic achievement in English for Academic Purposes at North Hennepin Community College.

Memorial endowed scholarship awarded to outstanding students at North Hennepin Community College.

Phi Theta Kappa is the premier honor society recognizing academic achievement of students at associate degree-granting colleges. Membership requires a minimum 3.5 GPA and is recognized by over 800 institutions worldwide.

Honors designation on the A.S. Computer Science (Transfer Pathway) degree, recognizing sustained academic excellence throughout the program.

Consecutive Dean’s List recognition across two institutions: North Hennepin Community College (Spring 2023, Fall 2023, Spring 2024) and Metropolitan State University (Spring 2025, Fall 2025, Spring 2026).

Maintained a perfect 4.0 GPA at Metropolitan State University while simultaneously building 6+ shipped applications, winning two competitions, and serving as President of Metro Analytics Club.