Technical skills:• General-purpose programming language: Python (Main), Java• AI: Machine Learning, Deep Learning, MLOps, Generative AI, NLP, Computer Vision• ML framework: Tensorflow (Keras), PyTorch• Python libraries: Pandas, NumPy, scikit-learn, OpenCV, Pydantic, Asynchronous IO...• Package manager: Conda, pip, Poetry, apt, brew• Message queue / Web framework (REST, Pub-Sub): ZeroMQ, Flask, FastAPI, ASGI / WSGI, WebSockets• Container / Version control: Docker, Docker Compose, Kubernetes, Git, GitHub• Automate / Pipeline / CICD: Cron, Ansible, Apache Airflow, Jenkins, Azure DevOps• Data: SQL, NoSQL - Document, Graph, Vector• Visualization: Grafana, Matplotlib, Power BI• OS: Linux-based• Cloud: Microsoft Azure, GCP• Other: Algorithms, Data structures, EDA, Time / Space complexity (Big O), Load balancing, Proxy, Networking, Vectorization, Parallelism, Unit / Integration testing, Virtual environments, Agile------------------Other than the technical side of Sam's career, what is Sam up to during their free time?1. Exploring new ideas by getting involved in social group activities like brainstorm or knowledge exchange sessions with friends2. Leveraging data as a type of essential resource for businesses and growth3. Following SOTA technologies, game changing innovations, algorithms of top researchers4. Dedicated in using automation (both deterministic and AI - stochastic / probabilistic) and swarm technology (distributed computing) as a force multiplier, teamwork and adaptivity to overcome obstacles