I am currently a senior pursuing a combined BS/MCS in Computer Science at the University of Illinois Urbana-Champaign (UIUC). I have hands-on experience in machine learning engineering and distributed systems.

During Summer 2024, I worked at Capital One as a Software Engineer Intern. There, I built full-stack fraud detection solutions using technologies such as TypeScript, AWS Fargate, and Kafka that reduced fraud investigation time, fraud losses, and operational costs.

During Summer and Fall 2023, I worked at Caterpillar's Cat Digital division as a Software Engineer/MLOps Intern, where I focued on optimizing anomaly detection systems and increasing system performance by building a distributed machine learning and rules-based runner architecture. This work boosted after-market service sales by increasing the number of supported assets. Previously, I was also a Software Engineer Intern at Zakti Security Labs, where I developed custom tools to prevent unauthorized access to client systems and performed cybersecurity audits.

At UIUC, I serve as a Course Assistant for CS 357 (Numerical Methods) and CS 341 (Systems Programming). I am also the Infrastructure Chair, and previously Treasurer, for ACM @ UIUC, where I led modernization initiatives that reduced application downtime by 40%. Additionally, I worked on deep learning research, focusing on contrastive multimodal video transformers, under the supervision of Prof. ChengXiang Zhai and Prof. Ismini Lourentzou.

For more information on my current projects (aside from those on GitHub), or to contact me, please visit my website here.

To see my resume, please click here.