About Me

I'm a Software Engineer with a passion for software development and artificial intelligence. I specialize in full-stack development and have experience working with various technologies and frameworks.
When I'm not coding, you can find me teaching how to code, programming at hackathons, or exploring new technologies.
In my free time, I love to dance, hike, and watch movies/shows. I also love to travel and explore new places.
Skills
Programming Languages
Frontend Development
Backend Development
Databases & Data Processing
Cloud & DevOps
Tools & Technologies
Projects
Experience

Software Engineer
JPMorgan Chase & Co.
Jul 2025 - Present
Jul 2025 - Present
- Build and enhance an anti-money laundering application using Java, Spring Boot, React, and TypeScript, improving investigation speed and analyst workflows for 5,000+ users across the firm.
- Implement AWS ECS application deployments via Environment as Code (EaC), configuring secure cloud resources and enabling reliable production releases through automated pipelines.
- Develop AI-driven features, including a summarization tool that aggregates insights to help analysts review cases faster.
- Improve platform reliability by integrating automated multi-level testing and continuous validation into the release process.
- Work as part of both a core team and a cross-functional team, developing enterprise-wide tools that boost efficiency by integrating applications and workflows.

Code Sensei / Tutor
Code Ninjas
Jun 2023 - May 2025
Jun 2023 - May 2025
- Taught 30+ students (ages 8-15) foundational coding concepts in JavaScript, C#, and game development through interactive sessions.
- Guided students through 400+ programming projects, strengthening their problem-solving, logic, and mathematical thinking skills.

Software Engineer Intern
JPMorgan Chase & Co.
Jun 2024 - Aug 2024
Jun 2024 - Aug 2024
- Collaborated within the Corporate Technology LOB to support Consumer Banking teams by delivering crucial decision-making insights through an online analytical processing (OLAP) tool, enhancing reporting efficiency by 40%.
- Developed an OLAP cube using SQL and PySpark to streamline data modeling and financial forecasting, enabling senior executives to track business performance and identify strategic opportunities, increasing visibility of key metrics by 50%.
- Assisted in the cloud data migration of over 1 billion records, leveraging Databricks to generate multiple on-cloud reporting tables.

Software Development Intern
BioCurie
Mar 2023 - Sep 2023
Mar 2023 - Sep 2023
- Coordinated closely with the CEO and Chief Scientist to develop a software solution for optimizing gene therapy production, decreasing development time by 30% for all programming teams by transitioning from Matlab to Python.
- Led the development of a user-centric web application with Flask, Python, PostgreSQL, HTML/CSS, and JavaScript, enhancing overall functionality by 75% by implementing dynamic visualizations, robust file uploads, and client-server communication.

Production Engineering Fellow
Major League Hacking (with Meta)
Jun 2023 - Sep 2023
Jun 2023 - Sep 2023
- Created a personal portfolio website using Python, Flask, Jinja, MySQL, Docker, Nginx, and unittest.
- Established a CI/CD pipeline with Bash scripts, Docker, and GitHub workflows for automated testing and deployment, reducing development time by 25%.
- Implemented Prometheus and Grafana monitoring, reducing downtime by 20% and improving response times by 35%.

Undergraduate Researcher
Sensify Lab | University of Delaware
Jan 2023 - May 2023
Jan 2023 - May 2023
- Developed procedural generation techniques and deep learning models to rapidly generate compelling and dynamic characters for game development in under 2 seconds using Python and C#.
- Leveraged scikit-learn for training and testing to evaluate the accuracy of character generation from text descriptions.

Undergraduate Research Intern
Virginia Commonwealth University
May 2022 - Aug 2022
May 2022 - Aug 2022
- Created an automated testing tool for chatbots to refine and augment the training set using semantic clustering and a paraphrasing model, enhancing the chatbots' ability to correctly classify intents by 5%.
- Crafted and optimized Python scripts to evaluate the performance of natural-language understanding models.












