• Designed and implemented telehealth integration using the Healthie API, enabling seamless virtual visits.

• Built and launched an automated SMS and email communication feature using OpenPhone and Resend, improving engagement and reducing drop-off in the customer acquisition funnel.

• Conducted A/B testing and implemented UX improvements that increased user retention across the onboarding flow, leveraging behavioral analytics using PostHog feature flags.

• Enhanced observability into the platform’s routing algorithm by adding structured logging, event instrumentation, and monitoring, improving routing accuracy and reducing debugging time.

• Engineered full-stack features and enhancements across a Next.js/React frontend and Django backend, partnering with product and ops teams to drive scalable, business-aligned solutions.

• Led backend development for a web application using Next.js, React, HTML/CSS, TypeScript/JavaScript that assists potency assay development. The application streamlines data integration, analysis, and provides experimental recommendations for scientists and engineers.

• Architected and implemented the backend using Django and GraphQL with PostgreSQL for data storage, Docker for containerization, Sentry.io for error monitoring, and GitHub Actions for CI/CD on AWS.

• Designed and implemented core functionalities using Next.js, Django, GraphQL, and PostgreSQL for a cross-departmental laboratory sample testing web application. Features included multi-assay management, external sample validation, automated notifications, test scheduling, and data export capabilities. Deployed the application with Docker for containerization, Sentry.io for error monitoring, and GitHub Actions for a CI/CD pipeline on GCP.

• Developed and led a team of 3 engineers in designing, implementing, and deploying microservices that integrated internal systems with our ELN platform. This centralization enhanced project tracking, collaboration, and data sharing capabilities for scientists and engineers. Microservices built using Python, REST API, GitHub Actions, GCP, and AWS.

• Collaborated closely with business stakeholders throughout all stages of the Software Development Life Cycle (SDLC) to gather requirements, design, and develop software systems that aligns with business objectives.

• Engineered an intelligent monitoring system using Python and OpenCV that detects instrument errors and automatically notifies users through Webhooks to gChat.

• Led and managed an ELN user support group of 15+ members, providing comprehensive technical assistance to over 150 department-wide users.

• Designed, wrote and executed automation scripts for high-throughput screenings utilizing robotics and liquid handlers to generate critical early-stage process development data for novel molecules.

• Developed an automated data processing system using Python (Pandas, Plotly, and SQLite) to extracts and analyzes instrument data, generates detailed reports, and maintains a centralized database with automated email distribution capabilities. •Led the design and programming of purification instruments (AKTA Pure 25/150, Explorer, Ready) to optimize process efficiency.

• Played a key role in evaluating and implementing Electronic Laboratory Notebook (ELN) and Laboratory Information Management System (LIMS) solutions.

• Drove team growth by actively participating in hiring processes and providing training and mentorship to junior scientists and engineers.