Software Engineer II @ Capital One Financial

Card Technology Solutions | Machine learning, Fullstack

1. Full-Stack Developer -- Card Accept

• Developed a proprietary tool using machine learning to predict B2B credit card acceptance, enhancing decision-making for Bank Relationship Managers.

• This innovation contributed to an estimated $3 billion in annual expenditures.

2. Tech Lead -- PREDIQT

• Led a machine learning project to forecast business delinquency risks and devise strategies to minimize overcharges.

• Oversaw workflow, including model development, monitoring, and performance evaluation.

Software Engineer Intern @ Capital One Financial

Card Technology Solutions | Backend

• Transformed a key FaaS application from a legacy Java (Chassis, Spring Boot) codebase (v3) hosted on ECS to a lightweight serverless architecture (v4) utilizing AWS Lambdas and Python

• Minimized dependencies and reduced operational costs for card payment service for a user base with over 15 million customers in the upmarket and small business card sectors.

Software Engineer Intern @ Hewlett Packard Enterprise

High-Performance Computing (HPC) Solutions | Fullstack

• Developed automation software to execute test suites on nightly builds for HPE Performance Cluster Manager (HPCM).

• Led the development of a sophisticated monitoring solution for HPCM that tracks test environments, orchestrates the interplay between Ansible playbooks and test suites, and meticulously logs every request and execution.

Computer Science Grader @ Boston University

Education | Mathematics, Theoretical Computer Science

• Graded assignments weekly for over 80 students in an upper-level computer science class on Automata and Formal Language Theory, Computability Theory, Reductions, and Complexity Theory.

Software Engineer Intern @ Leopard Imaging Inc

Embedded Camera Solutions | Computer Vision, DevOps.

• Built YOLO-based software measuring crowd face-mask usage in real-time with localization and voting algorithms.

• Created GUI that monitors and reports face-mask usage in Python (Streamlit) with AWS EC2.