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) and Microsoft Azure (Entra ID, RBAC, Virtual Networks)
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
- Intellusia-Studios – IT Technology Reseach Lab
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

