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Ali Kakavand

Ali Kakavand

AI Engineer

Talente
BerlinMitglied seit 28. April 2026
LLMsAgentic Systems (LangGraph)LangChainRAG pipelines & retrieval optimizationContext engineering & memory systemsTool integration & orchestrationAWS (EC2, EKS)DockerKubernetesJenkins (CI/CD pipelines)TerraformAnsibleNexus Repository ManagerGitLinuxSQL & NoSQL databasesVector DatabasesData pipelines & document processingPythonFastAPIMicroservice ArchitectureAPI design & integrationSystem design for AI applications
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LLMsAgentic Systems (LangGraph)LangChainRAG pipelines & retrieval optimizationContext engineering & memory systems

Über

AI Engineer who builds real-world systems, not just prototypes. Delivered multiple production GenAI applications including RAG systems, and agentic workflows.

Brings

DevOps and cloud experience to AI engineering, with hands-on work in deploying containerized services, building CI/CD pipelines, and managing infrastructure using Docker, Kubernetes, Jenkins, and Terraform.

Berufserfahrung

DevOps Bootcamp Participant at TechWorld With Nana (2025-12 – Present)

Hands-on training in cloud-native infrastructure and DevOps tooling

  • Hands-on training in cloud-native infrastructure and DevOps tooling, including AWS, Kubernetes, Docker, Terraform, and Linux-based environments.
  • Built and automated CI/CD pipelines with Jenkins, containerizing applications with Docker and deploying them to AWS EKS and EC2 using Infrastructure as Code (Terraform) and configuration management (Ansible).
  • Implemented production-style DevOps workflows, including artifact management with Nexus, Maven build pipelines, and monitoring stacks using Prometheus and Grafana for Kubernetes-based systems.

AI Engineer at BOC Group (2024-04 – 2025-04)

Developed AI-powered applications and microservice architectures

  • Developed +3 AI-powered chatbot prototypes using advanced RAG techniques, and indexing technologies to enable users to query proprietary data.
  • Designed microservice architectures and REST APIs with Flask to integrate AI-powered automation into existing enterprise software, reducing manual effort in complex workflows.
  • Built a multi-agent AI system in LangGraph platform, integrating in-context learning and dynamic few-shot prompting for complex query processing.
  • Built an LLM-based application to enable users to chat with massive corporation data stored in confluence.

Data Science and AI Bootcamp Participant at LeWagon (2024-01 – 2024-04)

Data Science and AI Bootcamp

Energy Data Scientist (Freelance) at Tabdil Energy Paya (2022-08 – 2023-12)

Developed techno-economic optimization models for energy systems

  • Developed techno-economic optimization models for energy system scenarios using Python (PyPSA), leveraging datasets from ENTSO-E and public sources.

IT Application Engineer at Petro Pavan Co. (2011-07 – 2017-11)

Swiss-army-knife IT Application Engineer building custom VB tools

  • Swiss-army-knife IT Application Engineer, building custom VB tools for multiple departments - reporting, bidding, and engineering use cases - turning diverse needs into practical digital solutions.
  • Delivered end-to-end internal applications (design → implementation), improving processes and decision-making across a large Oil&Gas company.

Piping Project Engineer at Petro Pavan Co. (2008-04 – 2011-03)

Developed and reviewed piping system designs

  • Developed and reviewed piping system designs, ensuring compliance with engineering standards, and project specifications.

Ausbildung

M.Sc. in Process, Energy Systems Engineering – TU Berlin (2018-01 – 2022-08)

B.Sc. in Mechanical Engineering – K.N.T. University of Technology (2002-10 – 2007-08)

Fähigkeiten

AI Engineer

Bewertungen

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