# Nish Sitapara > Software Engineer | Full-Stack Developer | HealthTech + Biotech + AI Location: San Francisco Bay Area, United States Profile: https://flows.cv/nish I'm a full-stack software engineer with a strong foundation in both backend and frontend development, building scalable and maintainable applications across healthtech, biotech, and AI-driven platforms. I work extensively with Next.js, React, Django, and GraphQL, and leverage Python, TypeScript, and JavaScript to develop robust, production-ready systems. My experience spans architecting microservices, integrating with third-party APIs, and building CI/CD pipelines using Docker, GitHub Actions, and cloud platforms like AWS and GCP. I’ve designed and deployed tools that support complex workflows—from telehealth integrations and intelligent monitoring systems to lab testing automation and sample tracking platforms. I incorporate modern observability and analytics tools like Sentry, PostHog, and structured logging to ensure reliability and performance. I also actively use AI tools to accelerate development—from generating test coverage and boilerplate code to validating design decisions—while prioritizing security, maintainability, and stakeholder alignment. With a unique background in computer science, biotechnology, and data analytics, I’m passionate about building high-impact software that bridges science and technology to improve outcomes, streamline operations, and scale innovation. ## Work Experience ### Software Engineer @ Tomorrow Health Jan 2025 – Present | San Francisco Bay Area • 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. ### Software Engineer @ Genentech Jan 2022 – Jan 2025 | San Francisco Bay Area • 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. ### Associate Scientist @ Genentech Jan 2020 – Jan 2022 | South San Francisco, California, United States • 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. ### Process Engineer @ Sangamo Therapeutics, Inc. Jan 2020 – Jan 2020 | San Francisco Bay Area •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. ### Process Development Associate IV @ Sangamo Therapeutics, Inc. Jan 2018 – Jan 2020 | Brisbane, California, United States ### Process Development Associate II @ Sangamo Therapeutics, Inc. Jan 2017 – Jan 2018 | Richmond, CA ### Scientific Researcher(via Fountain Group) @ Genentech Jan 2016 – Jan 2017 | South San Franciso,CA •Developed an advanced web crawler using Selenium with Python to automate metadata and file extraction from the KEGG database, streamlining internal standards sourcing for molecule library development and enhancing data mining capabilities. ### Scientist I(via Makro Tech) @ Thermo Fisher Scientific Jan 2016 – Jan 2016 | South San Franciso, CA ### Process Development Technician I @ LGC Biosearch Technologies Jan 2016 – Jan 2016 | Petaluma,CA ### Oligonucleotide Synthesis Technician I @ LGC Biosearch Technologies Jan 2014 – Jan 2016 | Petaluma, CA ## Education ### Bachelor's degree in Computer Science Oregon State University ### Certifed Data Analyst in Data Analytics UC Berkeley Extension ### Bachelor of Science (BS) in Biochemistry California Polytechnic State University-San Luis Obispo ## Contact & Social - LinkedIn: https://linkedin.com/in/nsitapara - Website: https://www.nsitapara.com --- Source: https://flows.cv/nish JSON Resume: https://flows.cv/nish/resume.json Last updated: 2026-04-05