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ali kakavand

@alikakavand

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Experienced Generative AI Engineer specializing in Large Language Models.

Germany

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What I'm looking for

I am looking for a role that fosters innovation and allows me to leverage my AI expertise while contributing to impactful projects in a collaborative environment.

I am an experienced Generative AI Engineer with a strong focus on Large Language Models (LLMs) and AI-powered automation. My journey in AI has equipped me with hands-on experience in advanced technologies such as OpenAI, Anthropic, and Llama models, as well as indexing technologies like FAISS and ChromaDB. I thrive on designing multi-agent AI systems and developing intelligent automation solutions using LangChain and LangGraph.

Throughout my career, I have successfully developed AI-powered chatbot prototypes and integrated automation into enterprise software, significantly reducing manual effort in complex workflows. My background in backend development, microservice architecture, and API design allows me to build scalable AI-powered services effectively. I am passionate about transforming innovative AI prototypes into production-ready applications that drive efficiency and enhance user experience.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

BOC Group

Apr 2023 - Present (2 years 2 months)

Developed multiple 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.

Generative AI Large Language Models RAG Architecture Microservices REST APIs Flask LLM

Data Modeling

TU Berlin

Aug 2022 - Present (2 years 10 months)

Collected, cleaned, and structured energy-related datasets from various sources such as ENTSOE real-time data, public databases, government reports, or experimental data. Designed and implemented mathematical models for optimization and techno-economic assessment to simulate energy system scenarios.

Data Collection Data Cleaning Optimization PyPSA Python

Senior Data Analyst in Piping Projects

Petro Pavan Co.

Jul 2011 - Present (13 years 11 months)

Executed the cost evaluation of variation orders in construction projects, saving approximately USD 60M from total claims worth over USD 90M. Conducted feasibility studies for various plants and projects, including the Firuzabad petrochemical plant and downstream chemical plants.

feasibility studies Project Management Data Analysis Communication

Piping Project Engineer

Petro Pavan Co.

Apr 2008 - Present (17 years 2 months)

Developed and reviewed piping system designs, ensuring compliance with engineering standards and project specifications. Specified piping materials and components, prepared material take-offs (MTOs), and liaised with procurement and vendors.

Procurement Vendor Management

Education

Degrees, certifications, and relevant coursework

Le Wagon

Bootcamp, Data Science and AI

Completed an intensive program focused on data science and AI. Gained practical skills in machine learning, data analysis, and AI application development.

Technical University of Berlin

Master of Science, Process, Energy Systems Engineering

Pursued advanced studies in Process and Energy Systems Engineering. Focused on complex systems analysis, energy optimization, and sustainable engineering practices.