Apr 2024 – Aug 2024 · 4 mos · Durham, North Carolina, United States

Jan 2024 – Present · 2 yrs 2 mos

May 2023 – Aug 2023 · 3 mos · Singapore

• Created an end-to-end machine learning SaaS pipeline on Google Cloud, serving as an internal tool to generate new digital assets, cutting design time by 80%
• Evaluated many crypto-option contracts using Black-Scholes and Binomial Pricing models
• Implemented and backtested many trading strategies via Python using Hummingbot

Nov 2022 – Present · 3 yrs 4 mos · North Carolina, United States

• Working with Duke Surgical Risk Prediction Lab to create an AI predictive modeling suite to
• predict patient readmission risk

May 2022 – Jun 2022 · 1 mo · India

• Researched and developed a 7-day-in-advance anomaly detection on time-series multivariate data model using Tsetlin Automata
• Created and implemented Hidden Markov Models and Generative Adversarial Networks

May 2020 – Jul 2020 · 2 mos · India

• Created and designed logistics app for exam-day communication for volunteers
• Worked with Android Studio and implemented MVVM architecture, approximately 10,000+ lines of code