SUMMARY:

• Systems Architect, Development Operations Programmer, Linux Systems Administrator, and Director of Scientific Computing are all titles which I have held over the last 12 years. I have designed & engineered hardware, software, and network core functionality which facilitated open compute, IP development, and cross - site team environments in government, business, research, and industrial settings. My management and experience with open developer frameworks, database platforms, design methodologies, as well as working knowledge in C / C++ / Python / Perl / R / Matlab / BASH / etc, has made me a highly organized individual, able to prioritize and juggle multiple work streams to tight deadlines. For this reason, I have works multiple concurrent full time positions in the NYC metropolitan area in enterprise, healthcare, and government spaces, in which mission critical performance driven workflows were entrusted to me, and my practically flexible skillset.
• As such, I am an Agile Software Developer (ASD) who utilizes the Dynamic Systems Development Method (DSDM), specializing in Continuous Deployment (CD), Feature Driven Development (FDD), Extreme Programming (XP), while maintaining Lean Software Development (LSD) and Test Driven Development (TDD). I utilize functional logic simulation and debug with test branch development, while creating intuitive interfaces which are client facing to provide new insights into big-data analytics and next-generation problem solving. My methodologies integrate stimulus generation & checking, with functional coverage and performance modeling, to obtain functional verification with my digital designs. My superior communication skills paired with my understanding of system architecture and self-starter attitude has made my programming philosophy take full opportunity of the performance often underutilized in enterprise hardware. For this reason, my philosophy can be summarized as truly circumspect.
• My development cycles are full-stack: Integrating electrical signal, circuit, firmware, hardware, compiler, and application performance into an optimized functional platform ecosystem which maintains a low power design while allowing for performance based analytics which foster a streamlined co-operative management environment between technologist, administrative, business, and client staff. This mixed, upstream and downstream approach, allows for integration of my tools & products into established distribution channels which has allowed for its in corporation into technologies such as business & industrial automation, CPU / NVidia CUDA GPU based deep learning & machine learning, as well as top-tier research & public health projects funded by the Department of Defense (DoD) / National Institute of Health (NIH) / Bill & Melinda Gates foundation.

PROFESSIONAL EXPERIENCE:

Director of Scientific Computing

Confidential

• I proposed, designed, funded, deployed, and administrated, the first High Performance Computing (HPC) resources at Confidential . Utilized by the departments of Mathematics, Computer Science, Engineering, and Physical Sciences, the HPC resources I envisioned have grown with, and been tailored for, the needs of the research community by implementing resource allocation, network traffic balancing, optimal job scheduling & partitioning, secure storage architectures, as well as implementing CUDA GPGPUs since their launch in 2008. With the $250K I initially secured to fund this project, these computational resources have since produced research papers, patents, and increased student enrollment. Culminating in the first ever Master’s Degree in Computer Science in CUDA programming. My success as a Linux HPC administrator was recognized by Michael & Aimee Kakos, who have awarded the center with a $2 Million indefinitely renewing endowment to continue my demonstration of computational success. As such, I have since been appointed Director of Scientific Computing & High Performance Computing at Confidential ’s School of Science for my contributions and seniority.
• I designed, built, and maintained storage arrays & compute resources using vendors like Super Micro, LSI, Asus, Samsung, Hitachi, Western Digital, SanDisk, Silverstone, Corsair, Lian-Li, by maintaining firsthand knowledge of these product lines and the vendor distribution channels which had to be navigated for cost-effective corporate relations. Required experienced management of contracts, chip verification, DRAM cost balancing, and technology cycle planning. Ongoing maintenance operations consisted of implementing best security practices with timely validated software updates, kernel patches, and upgrades, while also minimizing downtime and conforming to government legislation regarding data security by military and health organizations (HIPPA).
• I retrofitted and upgraded legacy aluminum network infrastructure to enable current generation network traffic and disaster recovery plans for onsite and offsite backup. Required integration of existing and new network backbones with an ever expanding LAN / WAN network, whose rollout was optimized for always on access to compute, storage arrays, databases, and instrumentation. Peculiarities in CPU architecture, motherboard / BIOS revisions and Linux operating systems (Ubuntu / Centos) were all addressed as user code or enterprise programs were rolled out in development and production environments via a tailored hardware & software ecosystem for customers.

Scientific Programmer & Development Operations (DevOps)

Confidential

Metabolomics Core Laboratory

• Developed & implemented a scalable, parallel, on-demand, and low-cost Amazon Web Services (AWS) compute cluster as an alternative to the HPC resources available at NYU Langone Medical Center. My cloud native compute pipe-line allowed for high-throughput scientific instruments, used by clinicians, to analyze patient samples quickly, and autonomously, such that doctors and scientists could tailor their treatment plans in real-time to a disease’s progression. As project lead, my AWS incorporated hitherto unexplored computational and mathematical approached in the field of Mathematics, Physics, Chemistry, and Biochemistry, while also obeying HIPPA law which ensured patient data privacy, while saving the hospital 5-figures every month in costs.

Confidential

• Developed & implemented the first algorithm which utilizes unstructured piezo-electric glycan microarray data in the pursuit of profiling the antigen specificity of lectins as a cheap and better alternative to antibody histology. The resulting algorithm was implemented in: Matlab, R, C++ / CUDA at different phases of development, and was applied to swine flu (H1N1) pandemic prevention strategies at the behest of the National Institute of Health (NIH). Reference 1 below codifies the insights gained, as well as the patent pending program. The discoveries made were leveraged to obtain grant funding from the Bill and Malinda Gates Foundation for Malaria.

Confidential

• Developed an algorithm which extracts tertiary structural constraints from the RCSB.org protein database of crystallographic structures to guide de-novo protein sequence folding via CHIMERA. Utilized Python, Perl and CUDA. Algorithm was then implemented and scaled to an HPC environment, effectively creating a functioning cell in a computer which could be tampered with to discover new insights into multi-drug resistant bacteria; a major issue for all hospital in the US.