Build and own full-stack AI platform systems: backend services, data pipelines, frontends, and cloud infrastructure. Integrate LLM agents with lab data, instruments, and databases; prototype and harden agentic workflows; write well-tested code; mentor teammates and drive engineering best practices in a research-focused environment.

Design and build custom scientific instruments across mechanical, electronics, and firmware domains; develop and execute NGS workflows and assays; maintain sequencing QC; troubleshoot experiments and validate assays with biologists; write protocols/SOPs; set up and maintain lab instrumentation; iterate prototypes to production and communicate technical tradeoffs to team and stakeholders.

Own and expand robotics systems for automated biological research workflows. Integrate robotic arms, instruments, cameras, and sensors; develop reliable software and workflows; apply computer vision and AI for monitoring and autonomy; troubleshoot, calibrate, validate, and improve long-running systems. Collaborate with scientists, engineers, vendors, and hardware developers while creating intuitive tools, documentation, training, and reusable capabilities across robotics platforms.