Auditing each and every bit

Founding engineer responsible for the development of customer-facing API in addition to high-performance backend infrastructure and software.• Implemented key analysis pipelines to gain early customers (qc, bulk RNAseq, single-cell RNAseq)• Abstracted key biological concepts into a usable API alongside bioinformaticians• Developed GPU provisioning infrastructure leveraging swarmkit and nvidia-container runtime• Assisted in DevOps tasks including updating the build system and optimizing container images• Led the development of CPU/GPU/memory/disk telemetry across the platform to enable monitoring, invoicing, and alerting• Led the development of security infrastructure including network design and deployment of a customized identity provider service providing MFA• Led the development of internal repositories for various package mirrors across different languages• Contributed to front-end features including the user authentication interface, interactive documentation pages, and various quality-of-life updates

Early engineer developing a revolutionary artificial intelligence engine leveraging the advantages of both photonics and traditional electronics. Responsibilities spanned hardware as well as software across multiple teams.Analog Design Team:• Led Development of High-Speed Modulator Circuits for Precision Analog Computation• Designed and implemented algorithms in Python for optoelectonic system calibration• Developed Python software for rapid and accurate design of precision analog circuits• Developed Bash and Python software to automate common interactions with Cadence tools• Named inventor on novel modulator circuit patentDesign Verification Team:• Developed SystemVerilog models of analog circuits at various levels of detail• Enabled modeling of Python algorithms for optoelectronic system calibrationPhysical Design Team:• Developed software infrastructure for physical verification tools• Developed software to automate the generation of analog design collateral for chip integration• Developed a method to check for waveguide continuity using existing Physical Design toolsPhotonics Design Team:• Contributed to architecture of photonics artificial intelligence engine• Leveraged existing Cadence tools to enable photonics design and verification• Patented a scalable in-waveguide distributed summation scheme

Pursued a doctoral degree focusing on the development of CMOS Neural Interfaces for both recording and stimulation. Left program to pursue passions at the intersection of computer architecture and machine learning.

Graduate teaching assistant for Computation Structures (6.004), a course in digital design and computer architecture culminating in the design of a CPU. Weekly responsibilities included teaching four hours of recitation section per week, staffing lab for eight hours per week, keeping track of student process, and the occasional quiz review.

Lab: MIT Plasma Science and Fusion CenterUpgraded an RFQ particle accelerator for use as a nuclear material diagnostic by integrating a high-power amplifier, designing control circuitry, designing a digital interface, and revamping existing control software.