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Hi, I'm Anmol Ashri, a Machine Learning Engineer with practical experience in building Retrieval-Augmented Generation (RAG) systems, fine-tuning large language models, and deploying AI agents into production using Python, PyTorch, and the HuggingFace ecosystem. I have a strong foundation in generative AI, explainable AI, and scalable API services, complemented by my work in embedded GPU workflows, robotics integration, and real-time vision systems. Currently based in Kaiserslautern, Germany, I have successfully delivered projects involving autonomous workflows, geospatial analytics, and HPC optimizations. I'm passionate about pushing the boundaries of machine learning and AI to build impactful, reliable, and explainable systems that solve complex real-world challenges.…Hi, I'm Anmol Ashri, a Machine Learning Engineer with practical experience in building Retrieval-Augmented Generation (RAG) systems, fine-tuning large language models, and deploying AI agents into production using Python, PyTorch, and the HuggingFace ecosystem. I have a strong foundation in generative AI, explainable AI, and scalable API services, complemented by my work in embedded GPU workflows, robotics integration, and real-time vision systems. Currently based in Kaiserslautern, Germany, I have successfully delivered projects involving autonomous workflows, geospatial analytics, and HPC optimizations. I'm passionate about pushing the boundaries of machine learning and AI to build impactful, reliable, and explainable systems that solve complex real-world challenges.

Anmol Ashri

AI Engineer, Developer, Full Stack Developer

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Hi, I'm Anmol Ashri, a Machine Learning Engineer with practical experience in building Retrieval-Augmented Generation (RAG) systems, fine-tuning large language models, and deploying AI agents into production using Python, PyTorch, and the HuggingFace ecosystem. I have a strong foundation in generative AI, explainable AI, and scalable API services, complemented by my work in embedded GPU workflows, robotics integration, and real-time vision systems. Currently based in Kaiserslautern, Germany, I have successfully delivered projects involving autonomous workflows, geospatial analytics, and HPC optimizations. I'm passionate about pushing the boundaries of machine learning and AI to build impactful, reliable, and explainable systems that solve complex real-world challenges.…Hi, I'm Anmol Ashri, a Machine Learning Engineer with practical experience in building Retrieval-Augmented Generation (RAG) systems, fine-tuning large language models, and deploying AI agents into production using Python, PyTorch, and the HuggingFace ecosystem. I have a strong foundation in generative AI, explainable AI, and scalable API services, complemented by my work in embedded GPU workflows, robotics integration, and real-time vision systems. Currently based in Kaiserslautern, Germany, I have successfully delivered projects involving autonomous workflows, geospatial analytics, and HPC optimizations. I'm passionate about pushing the boundaries of machine learning and AI to build impactful, reliable, and explainable systems that solve complex real-world challenges.

Available to hire

Hi, I’m Anmol Ashri, a Machine Learning Engineer with practical experience in building Retrieval-Augmented Generation (RAG) systems, fine-tuning large language models, and deploying AI agents into production using Python, PyTorch, and the HuggingFace ecosystem. I have a strong foundation in generative AI, explainable AI, and scalable API services, complemented by my work in embedded GPU workflows, robotics integration, and real-time vision systems.

Currently based in Kaiserslautern, Germany, I have successfully delivered projects involving autonomous workflows, geospatial analytics, and HPC optimizations. I’m passionate about pushing the boundaries of machine learning and AI to build impactful, reliable, and explainable systems that solve complex real-world challenges.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

German

Intermediate

Work Experience

Full-Stack Engineer at Fraunhofer IOSB Karlsruhe

March 1, 2024 - Present

Developed the RIXA Explainable AI Dashboard using TypeScript/ReactJS and Python/Flask, integrating AI explanation plugins like LIME, SHAP, PDP, and Counterfactuals. Designed a SQL-based notification system improving alert accuracy and reduced redundancies by 30%. Built a Retrieval-Augmented Generation (RAG) pipeline using transformer-based document retrieval (FAISS, HuggingFace) which reduced hallucinations by 20% and achieved 90% retrieval accuracy. Utilized technologies including Python, ReactJS, TypeScript, PyTorch, SQL, and Flask.

Machine Learning Engineer at Rheinland-Pfälzische Technische Universität Kaiserslautern

May 1, 2024 - August 4, 2025

Achieved 82.96% accuracy on AG News and 20 Newsgroups datasets by implementing Embedded Topic Models and creating novel document embedding methods benchmarked against GloVe and Sentence-Transformers. Fine-tuned LLaMA 2 7B using QLORA for Python code generation, reducing inference time and prototyped with Streamlit for stakeholder interaction. Enabled scalable model deployment by integrating Azure ML and Azure Databricks. Leveraged HPC with SLURM for multi-GPU training, significantly reducing model training time.

Data Engineer at Deutsches Forschungszentrum für künstliche Intelligenz Kaiserslautern

December 1, 2023 - August 4, 2025

Contributed in agile teams to enhance GIS accuracy by 25% through the development of a Tree Cadastre Map with GeoNode. Managed and optimized geospatial data pipelines using PostgreSQL/POSTGIS, lowering query latency by 15%. Implemented Role-Based Access Control and containerized services using Docker and Kubernetes. Designed and deployed a CI/CD pipeline with automated testing and Git hooks, reducing deployment times and improving quality.