As a Full Stack Engineer at Class Technologies, a pioneering ed-tech startup, I played a pivotal role in both front and back-end development. My tasks included building and maintaining admin-level and in-app pages using React.js, and collaborating with various client teams to integrate web views into their applications. I developed test-driven both public and private API endpoints in TypScript/Node.js from the ground up.My backend work extended to designing API endpoints, tools, and database models using TypeScript/Node.js. I managed database migrations and interactions with PostgreSQL. A key part of my role was refactoring legacy code into TypeScript, optimizing performance. I managed AWS Lambda functions via Serverless and used DataDog for system logging and alert management, proving my proficiency in diverse tools and technologies.I implemented application integrations using the Learning Tools Interoperability (LTI) standard and localized multiple front-end applications using HTML/CSS/JavaScript and React.js. I developed mobile deep-linking flows, built responsive web pages. I was instrumental in developing unit testing tools and managing release branches, ensuring punctual deployments to production.In leadership roles, I frequently led daily stand-ups, participated in hiring processes, and guided new developers through codebase walkthroughs. My collaboration with support engineers, product managers, sales, and almost all other departments demonstrated my abilities as a team player, aiding in meeting project goals, resolving customer-reported bugs, planning feature requests, and onboarding new customers.My problem-solving skills and initiative were particularly tested during "bug-bashes," where we resolved numerous issues within tight deadlines. My commitment to meeting stringent deadlines and delivering high-quality work under pressure allowed me to thrive in fast-paced development cycles.

- Developed and implemented advanced data analysis tools and processing systems, enabling the analysis of facial expression data to extract valuable metrics for customer feedback.- Leveraged a wide range of AWS services, including Kinesis, Rekognition, MongoDB, S3, CloudWatch, and Cognito, to efficiently process and manage large volumes of customer data.- Collaborated with cross-functional teams in the development of React.js web plugins, enhancing the functionality and user experience of web applications.- Architected and implemented fundamental video conferencing applications utilizing WebRTC technology.- Actively contributed as a key member of a small team in a startup environment, playing a vital role in multiple strategic pivots and adapting to evolving business needs.

Research assistant and data analyst for the space physics department under Dr. Delamere in conducting research into the Io plasma torus.

Developed data visualization software for EPSCoR’s Decision Theater.

Conducted research on changes in host associated traits of lab adapted Helicobacter pylori using techniques in bioinformatics and biofilm assays.