• Spearheaded the modernization of NJDOT workflows by architecting scalable RESTful APIs on AWS EC2/RDS and designing responsive ReactJS interfaces, reducing system latency and improving user adoption

• Developed a data migration platform using Python, FastAPI and MySQL, engineering ETL pipelines to migrate and validate millions of GIS records, ensuring accuracy for federally mandated bridge asset submissions

• Led technical alignment and code reviews for the engineering team, introducing automated CI/CD pipelines that improved deployment velocity and minimized production regressions by 20%

Key Skills: Vue.js, PostgreSQL, AWS, Software Architecture, Team Leadership, Cross-functional Collaboration

• Owned end-to-end development of a mental-health platform using Next.js and Node.js, delivering a

production-ready MVP in 10 weeks by establishing a Dockerized architecture on AWS EC2

• Integrated GPT-4o Mini to assist therapists using optimized prompt engineering, reducing caregiver response times by 25% and driving engagement through context-aware AI workflows

• Engineered automated CI/CD pipelines and enforced TDD practices, achieving 90% unit/integration test coverage, resulting in stable releases with no critical production incidents during launch

Key Skills: Next.js, Node.js, Render, AI Integration, DevOps, Product Development

• Designed and implemented a centralized research workflow system with robust role-based access controls, increasing operational efficiency by 50%.

• Automated key research processes, reducing manual effort and improving data integrity.

• Coordinated with faculty and researchers to customize solutions for diverse project needs.

Key Skills: Python, Access Control, Workflow Automation, Academic Research, Stakeholder Engagement

• Developed the organization's digital portfolio using NextJS for the front end, ensuring a robust user interface that aligns with brand standards and enhances user engagement.

• Engineered and deployed scalable backend solutions using Node.js, optimizing server-side operations, and hosted on AWS for improved reliability and reduced latency.

• Designed core components of a global business planning platform using Django, React, GCP, and Kubernetes, optimizing Celery task queues to support high-throughput data processing with low latency

• Engineered a high-performance data consistency engine to validate over 100M records, implementing custom Python logic that reduced manual verification by 90% and ensured improved data validation reliability across global datasets

• Shipped 3 core features in 6 months using TDD, achieving stable releases with no major production issues during initial rollout, while guiding technical delivery for 5 engineers on code maintainability and documentation standards

Skills: Django · React.js · Google Cloud Platform (GCP) · Kubernetes · Docker · Celery · Python · Agile · TDD · Data Engineering · Team Leadership · API Development