I'm Emad Olfatbakhsh, an AI/ML Engineer with 4+ years of experience designing, building, and deploying machine learning and generative AI solutions in enterprise environments. I specialize in LLM applications, RAG architectures, agentic workflows, vector databases, data preprocessing, embeddings, similarity search, reranking, and cloud deployment. I collaborate with business partners and cross-functional engineering teams to translate use cases into PoCs, MVPs, and production-ready AI applications.

Emad Olfatbakhsh

I'm Emad Olfatbakhsh, an AI/ML Engineer with 4+ years of experience designing, building, and deploying machine learning and generative AI solutions in enterprise environments. I specialize in LLM applications, RAG architectures, agentic workflows, vector databases, data preprocessing, embeddings, similarity search, reranking, and cloud deployment. I collaborate with business partners and cross-functional engineering teams to translate use cases into PoCs, MVPs, and production-ready AI applications.

Available to hire

I’m Emad Olfatbakhsh, an AI/ML Engineer with 4+ years of experience designing, building, and deploying machine learning and generative AI solutions in enterprise environments. I specialize in LLM applications, RAG architectures, agentic workflows, vector databases, data preprocessing, embeddings, similarity search, reranking, and cloud deployment.

I collaborate with business partners and cross-functional engineering teams to translate use cases into PoCs, MVPs, and production-ready AI applications.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

Persian
Fluent
English
Fluent
German
Fluent

Work Experience

ML/AI Engineer at Mercedes-Benz Tech Innovation
October 1, 2023 - Present
Design and build enterprise generative AI and LLM solutions, including RAG-based applications, agentic workflows, chatbot systems, text generation, and summarization. Develop end-to-end RAG infrastructure with data preprocessing, chunking, embeddings, vector indexing, similarity search, reranking, and retrieval evaluation. Implement scalable AI solutions using FAISS, Azure AI Search, Microsoft Azure, Azure Functions, and Azure Databricks. Apply prompt engineering techniques—few-shot learning, in-context learning, structured prompting, and prompt optimization—to improve quality and reliability. Collaborate with business partners and cross-functional teams to translate use cases into PoCs, MVPs, and production-ready AI applications.
Data Scientist at Mercedes-Benz Tech Innovation
April 1, 2023 - September 1, 2023
Developed machine learning models for database monitoring and observability, including building and evaluating anomaly detection models to improve monitoring effectiveness and product fit. Participated in product development discussions to align data science work with requirements and user needs.
Data Science Intern at Mercedes-Benz Tech Innovation
September 1, 2022 - February 1, 2023
Created ML workflows for in-house monitoring solutions, supporting data preprocessing, feature engineering, anomaly detection, and validation of model performance for database monitoring.
Python Backend Developer at University of Kassel - Project HISS
March 1, 2021 - June 30, 2022
Python backend development for NLP and ML components; maintained a Microsoft Azure deployment pipeline to support project continuity, reproducibility, and operational efficiency; used agile practices with Trello and Miro.
Python Backend Developer at University of Kassel - Project HISS (Hybrid Intelligence Service Support)
March 1, 2021 - June 30, 2022
Worked as a Python backend developer for NLP and machine learning components in a hybrid intelligence research project. Maintained a Microsoft Azure deployment pipeline to support project continuity, reproducibility, and operational efficiency. Used agile practices and collaboration tools including Trello and Miro for sprint planning, coordination, and execution.
Python Backend Developer at University of Kassel - Project HISS, Hybrid Intelligence Service Support
March 1, 2021 - June 30, 2022
Python backend developer for NLP and machine learning components in a hybrid intelligence research project. Maintained a Microsoft Azure deployment pipeline to support project continuity, reproducibility, and operational efficiency. Used agile practices and collaboration tools including Trello and Miro for sprint planning, coordination, and execution.
Student Assistant - Project HISS, Hybrid Intelligence Service Support at University of Kassel
March 1, 2021 - June 1, 2022
Worked as a Python backend developer for NLP and ML components in a hybrid intelligence research project. Maintained a Microsoft Azure deployment pipeline to support project continuity, reproducibility, and operational efficiency. Used agile practices and collaboration tools for sprint planning and execution.
Information Systems - Student Assistant at University of Kassel
September 1, 2020 - August 31, 2021
Conducted research and literature reviews on Industry 4.0, artificial intelligence, digital twins, and enterprise technology topics.
Intelligent Technical Systems / AI Data Tooling - Student Assistant at University of Kassel
September 1, 2020 - May 31, 2022
Developed machine learning models for identifying and detecting corner-case objects in AI and data tooling research projects. Supported data preparation, labeling, experimentation, Git-based workflows, and literature review for computer vision and ML tasks.
Student Assistant - Information Systems at University of Kassel
September 1, 2020 - August 1, 2021
Conducted research and literature reviews on Industry 4.0, artificial intelligence, digital twins, and enterprise technology topics.
Student Assistant - Intelligent Technical Systems / AI Data Tooling at University of Kassel
September 1, 2020 - May 1, 2022
Developed machine learning models for identifying and detecting corner-case objects in AI data tooling research. Supported data preparation, labeling, experimentation, Git-based workflows, and literature review for computer vision and ML tasks.
Project Management Intern at Volkswagen AG
March 1, 2020 - August 1, 2020
Monitored technical and deadline objectives to support project delivery, reporting, and stakeholder visibility. Created presentations, reports, and platform overviews to document project progress and improve understanding.

Education

Master of Science (M.Sc.), Mechanical Engineering at University of Kassel
October 1, 2019 - September 1, 2023
Bachelor of Science, Mechanical Engineering at Azad University (IAU)
January 1, 2014 - January 1, 2018
Master of Science in Mechanical Engineering at University of Kassel
October 1, 2019 - September 1, 2023
Bachelor's Degree in Mechanical Engineering at Azad University (IAU)
January 1, 2014 - January 1, 2018
Master of Science (M.Sc.), Mechanical Engineering at University of Kassel
October 1, 2019 - September 30, 2023
Bachelor's Degree, Mechanical Engineering at Azad University (IAU)
January 1, 2014 - January 1, 2018
Master of Science (M.Sc.), Mechanical Engineering at University of Kassel
October 1, 2019 - September 1, 2023
Bachelor's Degree, Mechanical Engineering at Azad University (IAU)
January 1, 2014 - January 1, 2018
Master of Science (M.Sc.), Mechanical Engineering at University of Kassel
October 1, 2019 - September 30, 2023
Bachelor's Degree, Mechanical Engineering at Azad University (IAU)
January 1, 2014 - December 31, 2018

Qualifications

edX Verified Certificate for Large Language Models: Application through Production
January 11, 2030 - June 29, 2026
edX Verified Certificate for Machine Learning Fundamentals
January 11, 2030 - June 29, 2026
Process Mining - From Theory to Execution
January 11, 2030 - June 29, 2026
Large Language Models: Application through Production
January 11, 2030 - June 29, 2026
Machine Learning Fundamentals
January 11, 2030 - June 29, 2026
Process Mining: From Theory to Execution
January 11, 2030 - June 29, 2026
edX Verified Certificate for Large Language Models: Application through Production
January 11, 2030 - June 29, 2026
edX Verified Certificate for Machine Learning Fundamentals
January 11, 2030 - June 29, 2026
Process Mining - From Theory to Execution
January 11, 2030 - June 29, 2026
LinkedIn Skill Assessments: Python
January 11, 2030 - June 29, 2026
LinkedIn Skill Assessments: Machine Learning
January 11, 2030 - June 29, 2026
LinkedIn Skill Assessments: Linux
January 11, 2030 - June 29, 2026
LinkedIn Skill Assessments: Agile Methodologies
January 11, 2030 - June 29, 2026
edX Verified Certificate for Large Language Models: Application through Production
January 11, 2030 - June 29, 2026
edX Verified Certificate for Machine Learning Fundamentals
January 11, 2030 - June 29, 2026
Process Mining - From Theory to Execution
January 11, 2030 - June 29, 2026
LinkedIn Skill Assessments: Python
January 11, 2030 - June 29, 2026
LinkedIn Skill Assessments: Machine Learning
January 11, 2030 - June 29, 2026
LinkedIn Skill Assessments: Linux
January 11, 2030 - June 29, 2026
LinkedIn Skill Assessments: Agile Methodologies
January 11, 2030 - June 29, 2026
edX Verified Certificate for Large Language Models: Application through Production
January 11, 2030 - June 29, 2026
edX Verified Certificate for Machine Learning Fundamentals
January 11, 2030 - June 29, 2026
Process Mining - From Theory to Execution
January 11, 2030 - June 29, 2026
LinkedIn Skill Assessments: Python, Machine Learning, Linux, Agile Methodologies
January 11, 2030 - June 29, 2026

Industry Experience

Computers & Electronics, Software & Internet, Professional Services, Media & Entertainment, Manufacturing, Other, Transportation & Logistics