Skills.
Technical proficiency and core competencies in Data Science and beyond.
Technical Core
Generative AI & LLMs (vLLM, Ollama, OpenAI)
RAG & AI Agents Architecture
Computer Vision (YOLO, OpenCV, Real-time Analytics)
Deep Learning (PyTorch, TensorFlow, Transformers)
Infrastructure & MLOps (Docker Swarm, CI/CD)
Data Architecture (Vector DBs, SQL, NoSQL)
Backend Development (Python, FastAPI, WebSockets)
Monitoring (Prometheus, Grafana, Linux)
Data Engineering (ETL, Cleaning, Wrangling)
Data Analysis & Visualization
Git & GitHub
Edge AI Deployment
Creative & Professional
Graphic Design & Motion Graphics
Audio Engineering & Music Production
Leadership & Team Management
Problem Solving
Communication & Presentation
Time Management