● Founding member of Merlin team (https://github.com/NVIDIA-Merlin/) Recommender Systems Framework. o Created Proof of Concept, ETL pipeline framework on GPU, that resulted in funding for headcount.● Designed and Implemented first version of NVTabular, a feature engineering pipeline built for GPU (NVTabular)targeting terabyte scale data.● Data Science pipeline creation and support, worked on decreasing training times for models by leveraging GPU.● Refactored merlin DAG for feature engineering (NVTabular) and inference pipeline deployment (merlin-systems).● Designed and Implemented the merlin data-loader that loads data onto GPUs. o MultiGPU data-loading o CPU/GPU support (autodetect) o Inter-epoch/Inter-node shuffle o multiple platform support (Tensorflow, Torch)● Established the CI system from the entire merlin team using Jenkins, docker, Gitlab, and Github.● Synthesized the deployment pipeline for creating, verifying and publishing docker containers to public registry(NGC).● Built the first version of all-in-one docker container housing all internal rapids+merlin products cohesively.● Created multi-gpu training leveraging merlin and horovod.● Presenter at GTC 2020 https://developer.nvidia.com/gtc/2020/video/s21651-vid● Supported Merlin DLI sessions for data science community members training on leveraging the Merlin ecosystem.● Engage community via github issues on merlin repositories● Work in depth with tensorflow and pytorch to ensure compatibility with merlin components.● Built a dataset inspector leveraging Dask/GPU that gathers statistics about columns to synthesize data● Created a dataset visualizer to profile our shuffling algorithm for the data loader.

• Collaborated on end to end components for research product that leverages vGPU• Developed a tool to organize and transport application packages• Extensive Numecent containerization packaging experience• Collaborated with multiple teams to create application virtualization packages to suit individual team needs• Conducted server-side and client development on multiple components within the system• Helped setup system infrastructure to ease deployment, logging, and metrics gathering• Created many proof-of-concept features to showcase possible use cases of the product• Worked with security team to locate and defuse vulnerabilities in product• Designed and implemented flask web applications to interact with end user for product and support tools• Well acquainted with AWS cloud resources (i.e. s3, cloud formation, lambda, route 53, api gateway)• Implemented a network analyzers for data center setup verification• Designed and built firmware management and deployment tool for datacenter assets

Lead Android OS developer on product applicationConstructed Google Firebase Push Notoficaiton service to work with android appIncorporated Youtube sdk into android applicationConducted RESTful interaction with Server BackendCreated a continuous deployment system for android app via Crashlytics frameworkImplemented authentication system on Android application using Keycloak backend support.Used Jenkins build system to build and deploy Android applicationDesgined web based template for information delivery system for android app using HTML and CSSCreated continuous integration of code via github, codeship and AWSStood up a Keycloak authentication system, created custom login themes using FTL, HTML, CSS3, JS and JQuery Created web application for company product, hooked in to a functioning RESTful back-end serverUsed with karma for testing code in development, integrated testing in codeship as part of continuous deploymentDeveloped an Express server, to serve static front end site on AWS Beanstalk resource, connected to multiple remote resourcesCreated end-to-end functionality for Angular 2 webapp to include integration with open source Keycloak software for authentication

Python Software Development – familiarity with NLTK, Sci-Pi, Tkinter, Numpy, Sci-kit and MatPlotLib librariesASP.Net MVC web developmentSystem Modeling via software development toolsDetailed documentation and reportingMachine Learning vulnerability testing (Evasion/Poison attacks)Presented research on Machine Learning Evolving System Security at the IEEE 2016 Pervasive Computing Conference

Conduct Software Installs/Updates on Multiple platforms including Windows and Linux (multiple distributions)Conduct OS installations and configuring dual boot systems, running Windows and LinuxInstall, Troubleshoot and replace hardware on CSS Lab computer systemsFamiliarization with VMWare, VSphere control center and server level management tools (ESXi)Work with enterprise level support for warrantied products, conducted RMAs based on specs required by warranty issuing companyExposure to networking, with hands on training, setting up and installing switches, servers and storageUse remote desktop and CLI to establish a remote connection and fix software issuesPerformed customer training and setup for university staff on hardware and software updatesExposure to Arduino and Raspberry Pi programming.Manage and test network security and vulnerability training to be conducted in the Cyber Security graduate program.

Designed a database system for Intelligence Information Requirements for the Southeast Asia Division.Trained 12-person team on Mobile Geographic Information Systems (GIS) and Global Positioning System (GPS) training.Managed over $200,000 worth of equipment for the Southeast Asia Division.Lead a team of 12 analysts that worked together to create intelligence products in support of mission focused operations.Briefed commanders and supervisors on daily activities and their effects on operations.Trained in multiple Top Secret software programs used to create Signals Intelligence (SIGINT) products vital for mission support.

Deployed in support of Operation Iraqi Freedom.Operated and maintained equipment valued over $600,000.Head of security for six human intelligence collectors over a period of two months with no incidents while traveling throughout Iraq.