Developed an AI/ML platform that ingests and processes complex video content, quickly extracting and organizing objects and their unique details. The primary initial use case is new commerce enabled ad formats that allow users to purchase products they see on any of their favorite TV Shows or Movies. Built an affiliate marketing site (episodesofstyle.com) and added enhanced analytics for product placement verification.Designed and developed the platform which includes the core model made of Convolutional Neural Networks, clustering, and dimension reduction models. Built and trained internal models as well as integrated AI models as a service from both AWS and GCP. Used GCP as primary cloud provider. Stack is a combination of Go and Python with terraform for resource management.

Engineer hire #1 supporting the designing and building of the backend architecture. Built a scalable event driven architecture using technologies like Temporal.io and NATS.io. Worked closely with AWS and GCP APIs and augmented tools like CloudQuery and Steampipe to obtain an inventory of cloud resources, their configurations, and their changes in real-time. Wrote rules to evaluate configurations against Security best practices. Wrote tasks to auto-remediate vulnerabilities by updating cloud resources when a vulnerability was detected.

Directly manage the platform, backend services, and analytics systems. Run 2 of 4 Business lines within the company; Awareness and Commerce. Worked closely with Amazon Prime Video.- Supported Re-organizing the company into a cross-functional set of 4 business lines- Within 6 weeks of taking ownership of paid marketing, reduced our Cost per Subscriber from $250 to $15- Increased subscribers through paid channels by 60x- Within 4 weeks of taking ownership of Commerce, increased BD pipeline by 3x, hired a specialist in Photography Rights, and launch a 3 month project that was 2 months behind scheduleArchitected and built out the full platform stack for Web Applications, Content Operations, and internal Streaming Video - Employee #5, Engineering Hire #1, started with zero code and within 1 month of joining the company, built full platform with fully automated CI/CD to support 10 developers - Built multi account, multi environment platform in AWS- Lead the architecture and development of our Content Operations pipeline that allowed employees to view, quality control, and upload to Amazon 150+ videos, 400+ hours of content

Growing the Chicago engineering team and building a collaborative culture with a foundation in solid engineering principles. Managing data engineering of 4 cross functional teams across the adtech ecosystem. Supporting the integration of Walled Gardens partnerships (Facebook, Google/Youtube, Spotify, Yahoo etc..), driving new initiatives across the growing forefront of Video and OTT/CTV, and modernizing efforts to scale crawling across the open web. Leading modernization efforts to fundamentally change the way our systems scale and perform. Migrating from batch heavy MapReduce processes to continuous streaming and event driven architecture. Using tools such as Kafka, Spark, NiFi, and Flink to build truly distributed big data systems that handle billions of events per hour. Migrating from on-prem to cloud architecture, both AWS and GCP.

Started the Data Engineering team from scratch. Built the roadmap and vision for the next 12 months. Operated as both manager, lead developer, and product owner in day to day tasking. Recruited, interviewed and hired a 6 member team within 8 months that spanned Jr to Lead, Software to Data Architect, and local to remote employees. Stabilized legacy infrastructure on both the Production and Analytics side while building and growing a new modern platform.Python, Bash, Java, NodejsMySQL, Aurora RDS, Redshift, SnowflakeTerraform, Airflow, Jenkins, Ansible

Built a proof of concept to overhaul and modernize our venue mapping pipeline. Transitioned this to a small agile team outside of normal development cycles with the intent of producing a prototype for A/B customer testing. Wrote a custom application in nodejs to automatically read the geometry of polygons and generate segmented rows. Built a pipeline to convert SVGs to a geospatial reference frame and utilized Mapbox to render updated geometry in front-end application.Nodejs, Python, Java, bash, GDALMapbox, JOSM, Adobe Illustrator, PostGIS, TegolaGeojson, SVG, MVT, OSM formats

Supported the platform and infrastructure for production systems. Helped design and build scalable distributed systems for an environment that experienced large fluctuations in network traffic. Worked with Kubernetes and ECS for containerized deployments. Used tools like Terraform and Ansible for Infrastructure and Configuration as code. Used Jenkins/Jenkins2 for CI/CD. Helped design, build, deploy and run our in-house Kafka cluster and ELK stack. Worked on call cycles and assisted application developers in root cause and mediation of production issues.Python, Bash, Java, GoKubernetes, ECS, Docker, Kafka, ELK, MySQL, Aurora RDS, Datadog, NGINX, CaddyTerraform, Jenkins, Ansible, Packer

Dev Lead for the internal Software Development arm of Avant. Leading a team of 3 developers building out the central platform for internal automation of analytics and business workflows. (Stack: Elixir with a pseudo Phoenix Framework and JavaScript front end) Engineer on Data Services working primarily with the exchange and storage of production and analytics data. Supporting ETL utilizing AWS services such as EC2, RDS (Postgres), Kinesis, and S3. Developed applications to automate data ingestion into the company’s Hadoop cluster. Reviewed Ruby on Rails Migrations with our Postgres Database. Python, Elixir, Ruby, RPostgres, Hadoop, Hive, and Impala

Supporting the upgrade of the digital communications infrastructure for the ground segment of The NASA Space Network.

Verification and Validation Agent for JEM (Join Effects Model), the DoD's only accredited CBRN(Chemical, Biological, Radiological, and Nuclear) predictive model. Related tasks included systems engineer supporting the integration of Infectious and Contagious Disease Models into JEM.Previously, Program Manager for Systems Engineering, Integration, and Information Assurance support to SPAWAR 2.0: Acquisition and Contracts E-Commerce System. Managed a $2.8 million contract directly supervising 8 staff members.

Modeling and simulation capability lead of Decision Analytics in the San Diego market. Key roles include:- Supervising 3 employees across cross-functional teams- Development of a munitions distribution model that integrated a volume optimizer, a discrete event simulator, and a physics based engine- Development of STK Models for C4I analysis including orbital analysis, flight path analysis, coverage optimization, and link budget analysis.- Development of Project Management and Financial Management software tools for clients at SPAWAR and SSC PAC- Capability Based Assessments in support of Gap Analyses and Requirements Development- Development of DoDAF compliant Navy Program Architectures in support of CDD and ISP development

Member of the modeling and simulation team supporting the NASA Near Earth Network (NEN) in future mission and network planning. Key roles included: - Development of strategic marketing presentations to obtain key funding for NASA client - Modeling and analysis of satellite orbital characteristics and ground stations- Extensive use of the STK (Satellite Tool Kit) Software Suite- Development of testing procedures for vendor designed software scheduling product- Integration of STK with Microsoft applications to develop tailor made solutions- Supported the development of the replacement scheduling system for the NASA NEN - Mission scheduling using STK Scheduler- Network data latency analysis using ExtendSim

Worked as a consultant on intensive engineering based projects for clients from multiple business sectors. Key roles and projects included:- Medical Products: Worked across the full product development life cycle involving research, design, development, testing and implementation of various novel medical devices- US Naval Fire Safety Systems: Specification development and point of failure analysis- Pharmaceutical Products: FMEA and probability analysis - Nuclear Power plant energy generation analysis - Modeling and simulation of transient fluid flow

Supported Aircraft engineering group in research, development, and design. Tasks included creation of interactive weight and balance sheet, full development of fuel consumption rate table, and direct testing on fuel bladder system.