• Coursework: Data Structures, Algorithms, Computer Organization, Systems & Networks, Machine Learning, Computer Vision, Numerical Analysis, Automata & Complexity, Financial Modeling, Management of Financial Institutions, Fixed Income

• Honors: Faculty Honors with 3.98 GPA

• Designed and developed a full‑stack generative AI product using Kotlin & ReactJS for AI Test Kitchen (AITK).

• Designed, developed, and shipped user‑centric features to AITK’s MusicFX by developing new RPCs, and utilizing Boq and Spanner.

• Worked across teams by owning the idea, getting PM/UX approval, writing comprehensive design docs, implementing full‑stack features with minimal disturbance, launching new features to production, and presenting to product area, without compromising quality.

• Implemented a new RPC on the server side and created an automated workflow using Java that saves 100+ engineering hours every year.

• Integrated with existing tools using Sheets API in Java and Golang, reducing deployment time by a week every release.

• Wrote a design doc regarding the reporting workflow, went through code reviews, launched internally for ChromeOS, and presented work.

• Founding club member and revamped much of the communication, increasing the club’s size by 125+ students in its first year.

• Working with the executive board to create a new curriculum, bring in sponsors (i.e. FTX & TradingView), & organize a large trading competition for club members.

• Built a convolutional neural network using over 950+ manually labeled video frames with a pipeline for pre‑processing and filtering.

• Improved the model from purely convolution (CNN) to a segmented one with YOLOv5, increasing accuracy to 96%.

• Designed and implemented an Android application for the makerspace staff, providing real‑time alerts to users of unsafe band saw usage.