TECHNICAL CAPABILITIES
Classified Skills Matrix
Categorized audit of machine learning libraries, deep learning vision models, systems engineering, and hardware acceleration tooling.
ML Foundations & Mathematics
Linear algebra, calculus manifolds, loss optimization, and foundational tensor manipulation.
Python95%
PyTorch90%
Linear Algebra & Calculus88%
NumPy / Pandas92%
Scikit-Learn86%
Deep Learning & LLM Systems
Multi-modal transformers, YOLO architectures, late-interaction RAG, and fine-tuning pipelines.
Computer Vision (CNNs / YOLO)92%
Generative AI & LLMs90%
RAG Architectures & Vector DBs88%
Hugging Face Transformers85%
Model Quantization (INT8/FP16)80%
Systems Engineering & Runtimes
Low-latency IPC, concurrent queues, Docker containerization, and microservices.
FastAPI & REST APIs90%
Docker & Containerization82%
Redis & Message Queues78%
PostgreSQL & Supabase85%
Full-Stack Delivery & Interfaces
Next.js 15, PostgreSQL, Supabase RLS, and high-density responsive canvas interfaces.
Next.js & React85%
Tailwind CSS88%
TypeScript82%
Hardware & Edge Deployment Tooling
ONNX runtime, OpenCV vision acceleration, Linux kernel profiling, and Git CI/CD.
OpenCV90%
ONNX Runtime80%
Linux / Bash85%
Git & GitHub Actions90%