• Worked on a team of 4 building an open-source vendor-agnostic real time observability and logging platform.

• Led the development of anomaly detection algorithms, enabling proactive exception monitoring and issue resolution at scale.

• Co-led the development and production of Compounds equity and tax modeling platform, leading to a 10x increase in client usage.

• Led development and maintenance of multiple integrations for Compound's equity and tax team, including a rewrite of the company's Carta integration for greatly improved data accuracy, reliability, and speed.

• Architected, built, and maintained internal tools for our internal Financial Advisors and Account Managers to better manage client portfolios, cutting down on manual data entry and increasing data accuracy.

• Created a data analytics and visualization platform to extract, structure, and analyze data from insurance rate filings.

• Empowered global actuarial, market intelligence, and pricing teams to use rate filing data to optimize pricing, analyze markets, and track competitors across product lines and geographies.

• Designed, executed, and maintained platform-wide brand consistency including website, style guides, logos, marketing materials, and general product design.

• 1st engineer hired to build an AI-driven risk intelligence platform for financial crime compliance.

• Streamlined data pipelines to process billions of cross-industrty records, reducing processing time by greater than 90% and supporting regulatory compliance for dozens of financial institutions.

• Handbuilt and led a team of 4 data analysts and engineers, delivering clean, actionable data to power ML-driven compliance solutions.

• Co-Inventor on two ML/AI patents focused on the creation of structured data from unstructured sources.

• Raised $60,000+ in crowd-sourced funding and bootstrapped to profitability within 3 years.

• Designed and executed a social impact initiative, delivering 1,400+ vision-saving surgeries through nonprofit partnerships.

• Funded and helped run multiple surgical eye camps across rural Cambodia and Nepal.

• Designed products and managed a domestic supply chain while overseeing analytics, e-commerce, and engineering efforts.

• Built and maintained a sports betting fund with 6-figure AUM, achieving positive annual returns for 4 consecutive years.

• Developed proprietary data analytics and machine learning models based on undergraduate thesis work.

• Pivoted to data-driven insights- primarily the collection, analysis, and monetization of NBA data for predictive modeling.

• Transformed unstructured data into actionable insights to provide strategic direction, problem-solving, and visualization consultation for the Inc. Business Owners Council.

• Led automating, updating, and aggregation efforts of old and new CRM systems.

• B.S.E. in Mechanical & Aerospace Engineering with Double Major in Economics and Minor in Physics

• Aerospace Thesis: Low-Speed Investigation of Drag Reduction Through Dimple-Induced Vortex Generation

• Economics Thesis: Finite-State Markov Chain Based Modeling for NBA Points per Possession Prediction

• Volunteer, K-12 Professional Learning Programs, New York City.

• Delivered virtual and in-person talks on innovation and entrepreneurship, focusing on inquiry-based pedagogy for K-12 teachers and for their students highlighting the potential of creativity and exploration in future career pathways.

• Contributed to technology preparation, secured donations, and contributed to the development of educational materials for teachers, enhancing learning resources and support for underserved educators in sub-Saharan Africa.