IT Professional | Full Stack Development | Machine Learning Enthusiast
Enterprise Architect specializing in bridging IT and Supply Chain Operations through automation and data-driven solutions. Military veteran with extensive logistics background and technical expertise.
Information Technology professional with B.S. in IT and M.S. in Computer Science, specializing in:
- Machine Learning Applications – Disinformation detection and sentiment analysis for social impact
- Supply Chain Optimization – ERP systems, inventory tracking, and demand forecasting
- Cloud-Native Solutions – AWS infrastructure (Lambda, Glue, S3, SageMaker, QuickSight)
Background in enterprise IT systems support, automation scripting, and DevOps practices. Proven track record of delivering scalable solutions for complex business challenges.
- Supply Chain and Transportation Dashboard – Comprehensive logistics flow visualization
- Meal Generator System – Personalized meal planning with nutrient optimization and recipe integration
- Stock Data Aggregator – Automated data collection with ML-based market indicators
- VCW_Tech – Visionary Code Workbench (in development)
Additional repositories from previous work forthcoming.
- Machine Learning, Natural Language Processing, Disinformation Detection
- IT Infrastructure and Network Automation
- Supply Chain Systems and Predictive Analytics
- Full Stack Engineering and Development Operations
Languages: Python · JavaScript · TypeScript · R
Frontend: React · HTML · CSS
Backend: Flask · Node.js
Database: PostgreSQL · MongoDB
DevOps: Git · Bash · Docker · Terraform
Cloud: AWS (Lambda, Glue, S3, SageMaker, QuickSight)
Enterprise: Active Directory · Microsoft Intune · ITSM Tools · Ticketing Systems
Deployment: Netlify

