Geet Duggal Email & Phone Number

Mountain View, Ca, Us

Mountain View, California, United States

While reporting to the President of the company, grew 6 engineering teams (upwards of 30 FTE in US, CZ) across backend, developer experience (layer on top of API), and 'scientific product' (uses of API for applications in Genomics). Led the creation of a new Software Development Lifecycle to establish and define clear processes and dependencies across teams. Worked closely with senior and executive leadership in Product, Operations, Support & Care Teams (xVantage), and R&D to deliver large-scale projects involving multiple teams. Designed and implemented a set of real-world scalability tests that scale-test the platform at peak production level loads (hundreds of thousands to millions of compute instances within hourly timescales). Worked with the engineering teams to deliver on critical large projects with partners including, for example, St. Jude Medical Center, Eli Lilly, City of Hope, and the UK Biobank. Worked closely with the Sr. Director of Operations on issues related to operational aspects of software development, on-call rotations, and operational cost management.

Mountain View, Ca

Grew a team of four people to focus on developer experience using the DNAnexus platform. This included new developments in backend workflow capabilities, CLI tools (eg. managing large scale downloads and maximizing 25 Gigabit network backplane throughput on the client side), Jupyterlab, integration with accelerated FPGA-based technologies, and general ability for customers to easily and dynamically host HTTP apps as secure, authorized HTTPS web pages on the platform. Expanded key aspects of product feature set to work across regions including UK, Australia, and China. Working closely with customers and development of these capabilities helped the company grow revenue within its existing customer base during license negotiations and win new customers due to the existence of these features.

In addition to work and skills as an R&D Engineer: built upon and developed key platform capabilities related to containerization (Docker, LXC), the first compiler for standard workflow language support (Common Workflow Language), and cloud-based memoization/job output reuse capabilities (across both AWS, Azure). Also significantly re-vamped public-facing documentation and worked on projects involving additional large customers including the FDA, Myriad, and Natera.

Developed features spanning both the CLI and backend components of the system. Compared industry standared C/C++/Java tools for genomic sequencing with emerging technologies based on Spark. Worked closely with internal Science team and with key customers in Academic Consortia, Industry (eg. ENCODE @ Stanford, Astrazeneca).

Algorithms and tools for large-scale processing of genomic sequencing data. > 8500 citations to date of work published during academic career.

Developed algorithms and tools for processing large-volume streaming data for the security and defense of military networks.

Doctor Of Philosophy - Phd, Computer Science

Focus: Graph Algorithms and Computational Biology

Ph.D, Computer Science

Transfered to Carnegie Mellon University

B.S., Computer Science

Focus: Operating Systems, Networks