Zach Siegel

Drove product end-to-end, from ETL to UI. Deployed bulk ingestion pipelines for millions of records per day; synced data across transactional and analytical storage; designed customer-facing features.

Grounded generative AI in software best practices. Rigorously evaluated and optimized generated content to align to SME preferences with a custom prompt optimization workflow. Built a robust named entity resolution service.

Innovated on tooling. Used a custom agentic loop to generate thousands of unique configurations to scrape high-quality structured data (without AI) from different websites each day.

Centered software rigor. Maintained high test coverage for backend and frontend Python and Typescript code, and extended testing paradigms to evaluate non-deterministic AI features.

Won company-wide hackathon. Placed first of 48 teams with a resume-screening platform that aligns to manager preferences via annotations of synthetic data that balances exploration and exploitation and prompt optimization.

Led widely-used internal software platform (AWS+React+Django) providing: customized genomic design tools; long-running bioinformatics pipelines; scheduling automation and visualization; executive BI analyses; automated handoffs across platforms; integrations with lab robots; IP-related data mining. Onboarded cross-functional contributors, maintained testing suite, documented, and socialized tools.

Automated lab data plumbing by connecting platforms including: lab information database (Benchling), project management software (Smartsheet), and networked lab instruments. Built a QR-based inventory update system. Fully automated several lab instrument data ingest operations.

Developed forecasting models for primate immunogenicity, with a decision-support tool that anticipates spontaneous interruptions to animal availability (a widespread challenge in biotech). Built automated analysis pipeline that delivers increasingly precise recommendations to decision-makers as new assay results are recorded in lab information database. C suite relied on forecasts for (expensive!) contracts.

Taught "Data and Analytics" to students in the MBA programs as part of PhD track teaching requirements.

Created (great) statistics course materials with a JupyterHub/git-based deployment pipeline. Students clicked a "magic link" to access cloud-provisioned, SSO-enabled compute environments.