Experience
Education, training, certifications, and project milestones, newest first.
Computer Vision Developer program
Image processing, CNNs, transfer learning, fine-tuning, and YOLO object detection. Final project on facial emotion recognition.
Computer Vision →Google Cloud: Kubernetes Engine & Data Engineering
Instructor-led courses on containers, Kubernetes architecture and operations on GKE, and data pipeline patterns (EL, ELT, ETL) on Google Cloud.
Network Diagnostic API
Containerized Flask API deployed to Google Cloud Run through a Cloud Build pipeline.
Network Diagnostic API →Fatoorah personal finance app
Expo / React Native app with a swappable Open Banking data layer.
Fatoorah →AWS Certified Cloud Practitioner & AI Practitioner
Foundational AWS cloud and AI/ML certifications.
B.S. Electrical & Computer Engineering, Minor in Engineering Management
Capstone: high-altitude balloon sensor and radiation payload.
High-Altitude Balloon →Preparatory Year
University preparatory program before transferring to CU Boulder.
Skills
Tools and platforms I've used in real projects, grouped by area. No proficiency scores.
- Python · TypeScript · JavaScript · C
- AWS: EKS, Bedrock, IAM / Pod Identity · Google Cloud: Cloud Run, Cloud Build, Artifact Registry, GKE
- Docker · Kubernetes · Kustomize · RBAC & NetworkPolicy · CI/CD pipelines · Prometheus metrics · Linux
- PyTorch & torchvision · CNNs & transfer learning · LLM agents (LangGraph) · Amazon Bedrock · YOLO object detection · Model evaluation & comparison
- Next.js · React · React Native & Expo · Flask · FastAPI · Tailwind CSS
- STM32 (F429 Discovery) · Arduino · Sensor integration (I²C) · Data logging · PCB design · Environmental testing
- Git & GitHub · VS Code · Google Colab · MATLAB · Wireshark