Interim Hire: Unleash the Power of AI and MLOps

Looking to propel your energy-related projects to the next level through the fusion of AI expertise, MLOps, and deep domain knowledge? You're in the right place. I'm an AI engineer with a specialized focus on energy, offering an "Interim Hire" service to meet the specific needs of your projects.

Why choose Interim Hire with my expertise?

  • AI Excellence: With a strong background in AI engineering and science, I'm equipped to tackle the most complex problems with scalable and maintainable solutions. Whether it's predictive maintenance, energy optimization, or grid management, my AI expertise is a game-changer.

  • MLOps Proficiency: I'm well-versed in the practices and tools of MLOps, ensuring that your AI models are not only developed effectively but also deployed, monitored, and maintained seamlessly. This integration of AI and MLOps ensures sustainable and efficient AI solutions.

  • Energy Domain Knowledge: I bring extensive domain knowledge to the table, understanding the intricacies of the energy sector, its challenges, and opportunities. This knowledge is instrumental in tailoring AI solutions that align with your industry's specific needs.

  • Flexible Collaboration: Whether you require short-term assistance for a critical project phase or a more extended collaboration, my services are adaptable to your project's unique duration and demands.

What to Expect:

  1. Initial Consultation: We'll start with a comprehensive discussion to align our understanding of your project's objectives and challenges.

  2. Seamless Integration: I will seamlessly integrate into your team, adapting to your workflow, and contributing my AI, MLOps, and energy domain knowledge to drive your project forward. My teamwork experiences ranges from working with conservative business teams to science oriented teams to fully agile teams. If needed, I do have experience in elevating the innovation levels by introducing more agile priniciples into existing teams .

  3. Regular Progress Updates: I prioritize transparency and accountability. When working with highly innovative technologies like AI, both reward and risk are high. ROI decreases quickly if risk is not managed correctly. Expect regular progress updates to ensure that you're informed every step of the way to mitigate unnecessary risk.

  4. Project Completion and Knowledge Transfer: When our interim partnership concludes, you'll receive a comprehensive handover, complete with documentation and knowledge transfer, to facilitate a smooth transition.

Energize Your Project with AI, MLOps

Are you ready to energize your projects with a blend of AI, MLOps, and domain knowledge? Reach out to me today to discuss your specific project requirements, and let's explore how my interim hire service can bring sustainable and efficient AI solutions to the forefront of your organization. I'm eager to join your team and help you achieve your energy and AI objectives.

Technical details

Here is an overview of my technical expertise, frameworks, paradigms, tools, programming-languages. My experience is not only limited to Artificial Intelligence. I do have extensive knowledge about large data platforms, multiple cloud providers and many data software integrations. With 8+ years of experience in programming, I used 100+ libraries and packages. These are therefore not included in this overview. If you want to know more, just connect with me!

Paradigms: Cloud, Micro-service architecture, MLOps, DevOps, DataOps, CI/CD, Data-mesh, Infrastrucutre-as-Code, TOGAF, ADM

Technologies and Frameworks: Git, Docker, Kubernetes, SQL Databases (Postgres, SQL Server etc.), PowerBI, Tableau, Qlik, Spark, Kafka, Dagster, Angular, Databricks, Airflow, MLflow, Keras, Tensorflow, Linux, Github Actions, Azure Devops, Gitlab CI/CD, Terraform, Dash, Flask, Django, FastAPI, Pydantic, Web Scrapers, Supermetrics, On-Premise Networking, Grafana, MLFlow, Kubeflow, PowerApps.

Programming Languages: Python (8+ years), SQL (5+ years), Typescript, Javascript, HTML knowledge about other languages like Java, C and Go.

Cloud:

  • Azure: Azure Databricks, Azure Data Lakes, Azure Blob Storage, Azure Synapse, Azure Database for PostgreSQL, Azure Container Registry, Azure Container Instance, Azure Machine Learning, App Service, Azure Functions, Linux Virtual Machines, Windows Virtual Machines, IAM Management, Virtual Network, Key Vault, Azure Data Factory.

  • AWS: AWS Elastic Container Registry, AWS Managed Kubernetes Services, AWS Secrets Manager, AWS PostgreSQL, IAM Management.

  • GCP: BigQuery, Data Transfer Service.