ABOUT

I am Anders Kiss, a seasoned Machine Learning Engineer with a distinguished career in AI, ML, and Deep Learning. I specialize in extracting transformative insights from complex datasets, helping businesses make data-driven decisions and implement AI solutions.

If you are looking to harness the power of AI, ML, and deep learning, contact me, here.

My expertise encompasses various technologies, such as:

• Cloud ML platforms (AWS SageMaker, Google Cloud AI, Azure ML Studio) for model training and evaluation
• Open-source platforms (MLFlow, Kubeflow, Seldon Core) for the ML lifecycle
• Containerization (Docker, Kubernetes, Mesos)
• API management (AWS API Gateway, GCP Endpoints, Azure API Management) for publishing, securing and monitoring APIs
• Cloud data warehousing (Databricks, Snowflake, BigQuery, Redshift)

I am proficient in Python, LLM algorithms, AI Agents, MCP frameworks, Latent Diffusion models, Computer Vision, NLP, quantitative finance & time-series modeling, data visualization (Plotly, D3.js, Power BI, Tableau), SQL, Git, and full-stack development.