I’m Pradeesh Karunakaran, an AI Engineer based in Munich with a background in both machine learning and mission-critical engineering. I specialize in building practical Generative AI solutions — particularly RAG systems, AI agents, and Neo4j-based knowledge applications — that improve quality, productivity, and decision-making in industrial environments. At BMW, I’m currently working on AI agent frameworks for lean-management processes and local LLM deployments aligned with production workflows. Previously at the German Aerospace Center (DLR), I built graph-powered retrieval and text-to-Cypher automation to enhance complex simulation data access. Before transitioning into AI, I spent several years as a civil engineer delivering large-scale infrastructure projects like FIFA World Cup 2022 venues and Abu Dhabi Airport, which shaped my strong execution and stakeholder-coordination skills. I stand out by combining deep technical competence in GenAI with real-world operational understanding — enabling me to translate business needs into AI systems that are robust, scalable, and valuable from day one.

Pradeesh Karunakaran

I’m Pradeesh Karunakaran, an AI Engineer based in Munich with a background in both machine learning and mission-critical engineering. I specialize in building practical Generative AI solutions — particularly RAG systems, AI agents, and Neo4j-based knowledge applications — that improve quality, productivity, and decision-making in industrial environments. At BMW, I’m currently working on AI agent frameworks for lean-management processes and local LLM deployments aligned with production workflows. Previously at the German Aerospace Center (DLR), I built graph-powered retrieval and text-to-Cypher automation to enhance complex simulation data access. Before transitioning into AI, I spent several years as a civil engineer delivering large-scale infrastructure projects like FIFA World Cup 2022 venues and Abu Dhabi Airport, which shaped my strong execution and stakeholder-coordination skills. I stand out by combining deep technical competence in GenAI with real-world operational understanding — enabling me to translate business needs into AI systems that are robust, scalable, and valuable from day one.

Available to hire

I’m Pradeesh Karunakaran, an AI Engineer based in Munich with a background in both machine learning and mission-critical engineering. I specialize in building practical Generative AI solutions — particularly RAG systems, AI agents, and Neo4j-based knowledge applications — that improve quality, productivity, and decision-making in industrial environments.

At BMW, I’m currently working on AI agent frameworks for lean-management processes and local LLM deployments aligned with production workflows. Previously at the German Aerospace Center (DLR), I built graph-powered retrieval and text-to-Cypher automation to enhance complex simulation data access. Before transitioning into AI, I spent several years as a civil engineer delivering large-scale infrastructure projects like FIFA World Cup 2022 venues and Abu Dhabi Airport, which shaped my strong execution and stakeholder-coordination skills.

I stand out by combining deep technical competence in GenAI with real-world operational understanding — enabling me to translate business needs into AI systems that are robust, scalable, and valuable from day one.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

German
Fluent
English
Fluent

Work Experience

AI Engineer - Working Student at BMW AG, Munich
October 1, 2025 - October 28, 2025
Development and integration of an AI agent framework in lean-management processes (value stream analysis); architecture deployment of a local LLM application (MCP, Docker Compose, AWS); systematic assessment and scoping of AI use cases for production areas; analysis of cost and productivity KPIs, and optimization of operational workflows.
AI Engineer - Intern at BMW AG, Munich
August 1, 2025 - August 1, 2025
Development of an 8D assistance system for quality report analysis (Graph-RAG, PGVector, Neo4j); automation of data cleansing, clustering, and semantic similarity analytics; creation of a text-to-3D CAD workflow using VLMs for model generation; implementation and evaluation of multimodal pipelines, model fine-tuning, structured performance reviews.
AI Software Engineer - Working Student at German Aerospace Center (DLR), Munich
February 1, 2025 - February 1, 2025
Generation of text-to-Cypher queries for querying complex ontology data; administration and enhancement of the Neo4j graph database incl. consistency and performance optimization; ontology design and RAG integration for simulation processes; optimization of graph complexity and schema alignment for performance improvements.
Assistant Construction Manager / Civil Engineer at Larsen & Toubro, India / Qatar / UAE
May 1, 2020 - May 1, 2020
Management and coordination of construction works for major infrastructure projects (FIFA 2022 Stadium Doha, Abu Dhabi Airport); resource planning, interface coordination, and enforcement of quality and safety standards.

Education

Master of Science in Information Technologies for the Built Environment (ITBE) at Technical University of Munich, Germany
October 1, 2022 - October 28, 2025
Bachelor of Technology in Civil Engineering at National Institute of Technology Tiruchirappalli
July 1, 2011 - August 1, 2015

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Manufacturing, Professional Services, Real Estate & Construction