ABOUT
I am Anders Kiss, a seasoned Machine Learning Engineer with a distinguished career focusing on Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning neural networks. My specialization lies in extracting transformative insights from vast and complex datasets, helping businesses make data-driven decisions and implement AI solutions.
If you are looking to harness the transformative power of AI, ML, and deep learning, feel free to contact me, here.
My expertise encompasses the use of various technologies, such as:
- Cloud machine learning platforms (AWS SageMaker, Google Cloud AI Platform, Azure Machine Learning Studio) for model training and evaluation
- Open-source platforms (MLFlow, Kubeflow, Seldon Core) for managing the machine learning lifecycle
- Containerization platforms (Docker, Kubernetes, Mesos)
- API management services (AWS API Gateway, Google Cloud Endpoints, Azure API Management) for creating, publishing, maintaining, monitoring and securing APIs
- Object storage services (AWS S3, Google Cloud Storage, Azure Blob Storage) for storing and retrieving data
- Cloud data warehousing platforms (Snowflake, BigQuery, Redshift)
- Managed NoSQL databases (IBM Cloudant, AWS DynamoDB, Azure Cosmos DB) for accessing data warehouses
- Serverless compute services (AWS Lambda Functions, Google Cloud Functions, Azure Functions)
- Registry services (AWS Elastic Container Registry, Google Container Registry, Azure Container Registry) for storing, sharing and deploying container images
I am proficient in Python, Large Language Model (LLM) algorithms, AI Agents, MCP (Model Context Protocol) frameworks, Latent Diffusion models for creative tasks, Computer Vision (CV), Natural Language Processing (NLP), quantitative finance & time-series modeling, data visualization tools such as Plotly, D3.js, Power BI and Tableau, SQL, Git, and full-stack application development.