Meetraj Jadeja
@meetrajjadeja
Machine Learning Engineer specializing in LLMs, Computer Vision, and production-ready AI systems.
What I'm looking for
I am a Machine Learning Engineer pursuing an M.Sc. in Mechatronics with a strong focus on machine learning and software engineering. I build end-to-end ML pipelines, implement MLOps practices, and deploy models to production using cloud services.
At the University of Stuttgart I developed retrieval-augmented generation systems, LoRA fine-tuned LLaMA 2 models, and a multi-agent AI system for analyzing technical drawings that produces actionable feedback. I also integrated OCR, data augmentation, and classical ML techniques for robust data preprocessing and analysis.
While working with Hitachi Rail, I collected and preprocessed safety-related datasets, trained computer vision and foundation models for detection and segmentation, and implemented Visual SLAM for autonomous train systems. I created FastAPI endpoints and MLOps workflows for continuous monitoring and deployment.
I enjoy consulting on LLM use cases and building production-ready AI solutions that combine research rigour with practical impact, leveraging AWS (SageMaker, Bedrock, EKS), Docker, and CI/CD to deliver scalable systems.
Experience
Work history, roles, and key accomplishments
Machine Learning Research Assistant
IKTD - University of Stuttgart
Aug 2023 - Mar 2025 (1 year 7 months)
Developed RAG systems, fine-tuned LLMs (LoRA on LLaMA 2), and built multi-agent AI pipelines for technical drawing analysis, improving automated feedback quality and deployability via REST APIs and AWS services.
Education
Degrees, certifications, and relevant coursework
University of Stuttgart
Master of Science, Mechatronics
2022 -
Pursuing a Master of Science in Mechatronics with focus on Software Engineering and Machine Learning, covering deep learning, detection & pattern recognition, and embedded/distributed systems.
L.D. College of Engineering
Bachelor of Science, Mechanical Engineering
2016 - 2020
Completed a Bachelor of Science in Mechanical Engineering with a thesis on the development of automated control systems.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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