- Applied research on object detection for integration with public sector clients- Trained and deployed AI/ML models for object detection on a competitive project- Implemented advancements in object detection backbones, necks, and heads- Early stage SBIR for approaches to Synthetic Data for deep learning, specifically zero/few-shot learning in the context of satellite imagery- Leveraged previous kubernetes and docker experience to help improve workflows and infrastructure in air gapped environments- Improved AI/ML models through interactions with multiple stakeholders (end users through executives)

- Implement DevSecOps processes in Azure DevOps Server- Automate build, test, scan, deploy workflows- Integrate Kubernetes, Helm, jsonnet, Istio, Calico, and Portworx for seamless application deployments- Expand capabilities and environmental flexibility with on premise Docker Swarm and Kubernetes clusters- Lead logging and monitoring configuration using Fluentd and Splunk backed by an S3 compatible storage API- Lead Kubernetes network ingress and security efforts with Calico, Twistlock/Prisma Cloud Compute, and Istio- Lead Kubernetes cluster segmentation into multiple zones to colocate information and workloads of various sensitivity levels (e.g., public, confidential, private)- Assess and configure vendor offerings for cluster storage and security (Twistlock/Prisma Cloud Compute, Portworx)- Research and evaluate cloud native application architecture such as microservices. Concluded benefits did not exceed costs at the time.

- Lead efforts to automate application testing and health checks- While incumbent efforts had stalled for 2 years, I implemented over 800 tests across 4 applications in under 8 months- Develop reusable user interface control abstractions for use in automated Selenium tests- Implement automated tests using Selenium C# and Java bindings- Educate developers from disparate teams on Selenium best practices

- Develop and implement predictive analytics models on large datasets- Ensure analytics models learn from incoming data to adapt predictions accordingly- Apply Model Based Systems Engineering (MBSE) for requirements derivation and systems design- Improve MBSE model management through process automation- Perform requirements analysis and system design for an accounting rules engine and rule management

Differential PrivacyMachine Learning - pose estimation and activity tracking

First semester calculusRecognized with departmental award for excellence in teaching

Sophisticated analysis of sales and contracting dataExtensive market research and opportunity scoutingSales strategy developmentData reporting using advanced excel macros and data modeling