Working as principal engineer, lead, manager, and researcher on multiple government software soltions. Resident expert on natural language processing and visual recognition.
Led development of a novel PCB computer-vision platform for automated circuit-board analysis, evaluating, training, and integrating modern deep learning models (CNNs, ViTs, detection/segmentation) into GPU-accelerated pipelines.
Designed and built a large-scale NLP platform combining document ingestion, search (hybrid BM25+ embeddings), and LLM-driven analytics; this platform underpins several successful product lines.
Architected and deployed multiple AI servers and clusters for model training and inference (NLP and vision), including environment hardening, monitoring, and performance tuning for government production use.
Led a graph-analytics risk-assessment system aggregating and analyzing data across multiple agencies, using graph databases and ML models to support complex risk and dependency analysis.
Regularly designed prototypes and authored technical proposals for bleeding-edge AI solutions (LLMs, agents, computer vision, optimization), helping secure and expand high-value contracts.
Led a backend engineering team delivering IoT, analytics, and ML capabilities for industrial and enterprise customers; owned key architecture decisions and coordinated with product and customer teams.
Implemented robust device-to-cloud interfaces for major industrial platforms (e.g., Allen-Bradley, OPC-UA), enabling high-volume, reliable ingestion of sensor and machine data.
Implemented robust device-to-cloud interfaces, notably for industry-standard platforms like Allen Bradley and OPC-UA, among others.
Designed and implemented a batch analytics and ML platform using Python, Jupyter, PyTorch, and TensorFlow, allowing data scientists and engineers to build, train, and deploy models on time-series IoT data.
Architected and optimized a large-scale time-series database system, including schema design, performance tuning, and large-scale data migration for production customers, many terabytes of data, with zero down-time.
Created a universal embedded device programming tool using Rust and WebAssembly, enabling flexible, dynamic firmware workflows; this design was patented.
Developed LLM chatbot solutions for documentation search and internal engineering support, improving discoverability of technical information and reducing time-to-resolution for common issues.
Established new algorithms and interfaces for real-time streaming data analysis, powering dashboards, alerts, and automation based on live device telemetry.
Researched, evaluated, and built new software for various industries.
Led multiple teams in all aspects of designing and developing mobile and web prototypes and production applications.
Interviewed clients to help Cincom improve solutions, resulting in increased sales.
Built drivers and APIs for embedded platforms for our enterprise development manufacturing tools.
Evaluated machine learning platforms and constructed several prototypes employing visual recognition, natural language processing, and general optimization solutions.
Acted as Lead Full-Stack Developer on various web and mobile apps.
Tabookoo: Developed a first-round social platform, creating a highly secure p2p
sharing site based on the client's patent-pending design.
Dayton IT Experts: Designed and implemented a custom business website.
Nightlife Technologies: Contributed to both the technical and business aspects of
a web and mobile social event app. Responsibilities included front-end design and
development as well as co-authoring the business plan.