Nish Sitapara

Software Engineer

Tomorrow Health | Feb 2025 - Present

• 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 | May 2022 - Feb 2025

• 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 data modeling for scientists and engineers.
• Built and deployed a full-stack sample testing platform using Next.js, Django, GraphQL, and PostgreSQL. Features Delivered: multi-assay management, sample validation, test scheduling, notifications, and data exports. Containerized with Docker, monitored via Sentry, and set up CI/CD with GitHub Actions on AWS and GCP.
• 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 | Sep 2020 - May 2022

• 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 technical assistance to over 150 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 | Jan 2020 - Sep 2020

• Built an automated data pipeline using Python (Pandas, Plotly, and SQLite) to extract, analyze, and store instrument data; generate reports; and distribute them via automated email.
• Played a pivotal role in evaluating and implementing ELN and LIMS solutions while driving team growth through active participation in hiring, training, and mentoring junior scientists and engineers.

Process Development Associate IV

Sangamo Therapeutics | Aug 2018 - Jan 2020

• Built an automated data pipeline using Python (Pandas, Plotly, and SQLite) to extract, analyze, and store instrument data; generate reports; and distribute them via automated email.
• Played a pivotal role in evaluating and implementing ELN and LIMS solutions while driving team growth through active participation in hiring, training, and mentoring junior scientists and engineers.

Process Development Associate II

Sangamo Therapeutics | Oct 2017 - Aug 2018

• Built an automated data pipeline using Python (Pandas, Plotly, and SQLite) to extract, analyze, and store instrument data; generate reports; and distribute them via automated email.
• Played a pivotal role in evaluating and implementing ELN and LIMS solutions while driving team growth through active participation in hiring, training, and mentoring junior scientists and engineers.

Scientific Researcher

Genentech (Contract) | Oct 2016 - Sep 2017

• Developed an ETL pipeline using Selenium with Python to process Kyoto Encyclopedia of Genes and Genomes (KEGG) data, streamlining internal standards sourcing for molecule library development and data mining.

Scientist I

Thermo Fisher Scientific Inc. (Contract) | May 2016 - Oct 2016

Process Development Technician

LGC Biosearch Technologies, Inc. | Jan 2016 - May 2016

Production Technician I

LGC Biosearch Technologies, Inc. | Dec 2014 - Jan 2016