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Hi, I'm Ekaansh Khosla, a passionate machine learning engineer currently pursuing my Master of Science in Data Science with a major in AI and Machine Learning at FAU Erlangen-Nürnberg. Over the years, I've gained hands-on experience working with renowned organizations like Siemens Healthineers and Samsung Research Institute, where I've developed scalable AI/ML solutions and worked on innovative projects ranging from LLM-powered retrieval systems to predictive cooling models. I thrive on solving complex problems using state-of-the-art technologies in AI, ML, and GenAI, and I love collaborating across teams to bring impactful solutions to life. When I'm not coding or researching, I enjoy exploring new advancements in AI and contributing to hackathons and competitions.…Hi, I'm Ekaansh Khosla, a passionate machine learning engineer currently pursuing my Master of Science in Data Science with a major in AI and Machine Learning at FAU Erlangen-Nürnberg. Over the years, I've gained hands-on experience working with renowned organizations like Siemens Healthineers and Samsung Research Institute, where I've developed scalable AI/ML solutions and worked on innovative projects ranging from LLM-powered retrieval systems to predictive cooling models. I thrive on solving complex problems using state-of-the-art technologies in AI, ML, and GenAI, and I love collaborating across teams to bring impactful solutions to life. When I'm not coding or researching, I enjoy exploring new advancements in AI and contributing to hackathons and competitions.

Ekaansh Khosla

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Hi, I'm Ekaansh Khosla, a passionate machine learning engineer currently pursuing my Master of Science in Data Science with a major in AI and Machine Learning at FAU Erlangen-Nürnberg. Over the years, I've gained hands-on experience working with renowned organizations like Siemens Healthineers and Samsung Research Institute, where I've developed scalable AI/ML solutions and worked on innovative projects ranging from LLM-powered retrieval systems to predictive cooling models. I thrive on solving complex problems using state-of-the-art technologies in AI, ML, and GenAI, and I love collaborating across teams to bring impactful solutions to life. When I'm not coding or researching, I enjoy exploring new advancements in AI and contributing to hackathons and competitions.…Hi, I'm Ekaansh Khosla, a passionate machine learning engineer currently pursuing my Master of Science in Data Science with a major in AI and Machine Learning at FAU Erlangen-Nürnberg. Over the years, I've gained hands-on experience working with renowned organizations like Siemens Healthineers and Samsung Research Institute, where I've developed scalable AI/ML solutions and worked on innovative projects ranging from LLM-powered retrieval systems to predictive cooling models. I thrive on solving complex problems using state-of-the-art technologies in AI, ML, and GenAI, and I love collaborating across teams to bring impactful solutions to life. When I'm not coding or researching, I enjoy exploring new advancements in AI and contributing to hackathons and competitions.

Available to hire

Hi, I’m Ekaansh Khosla, a passionate machine learning engineer currently pursuing my Master of Science in Data Science with a major in AI and Machine Learning at FAU Erlangen-Nürnberg. Over the years, I’ve gained hands-on experience working with renowned organizations like Siemens Healthineers and Samsung Research Institute, where I’ve developed scalable AI/ML solutions and worked on innovative projects ranging from LLM-powered retrieval systems to predictive cooling models.

I thrive on solving complex problems using state-of-the-art technologies in AI, ML, and GenAI, and I love collaborating across teams to bring impactful solutions to life. When I’m not coding or researching, I enjoy exploring new advancements in AI and contributing to hackathons and competitions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

German

Intermediate

Hindi

Fluent

Work Experience

Working Student - Data Scientist at Siemens Healthineers, Forchheim, Germany

November 1, 2023 - Present

Built LLM powered RAG to convert unstructured complaint data from PDFs into structured Excel format. Built a CNN-based image classifier to verify checkboxes in complaints data, achieving a 0.97 F1-score. Optimized Power BI dashboard creation processes through ETL operations for complaints data.

Master thesis - LLM powered RAG System at FAU Erlangen-Nürnberg, Germany

October 1, 2024 - Present

Developed a RAG system to automate student queries with 95% accuracy. Built using FastAPI and deployed on the university server with Docker. Evaluated performance using RAGAS, comparing LLMs, vector embeddings, and various retrieval techniques within the RAG pipeline.

Research Student - Machine Learning and GenAI at Institute FAPS, Nürnberg, Germany

December 31, 2024 - July 25, 2025

Investigated Stable Diffusion img2img and Dreambooth txt2img techniques for data augmentation on the electromagnetic coil dataset, achieving 2.1% improvement in F1-score. Performed multi-label classification on electromagnetic coil dataset, attaining an F1-score of 0.94.

Working Student - Data Scientist at Siemens Healthineers, Erlangen, Germany

March 31, 2023 - July 25, 2025

Automated cleaning of Indian hospital and diagnostic center data via web scraping, reducing manual effort by 45%. Collaborated with Siemens India to ensure data accuracy and completeness. Developed a data warehouse using SQL and NoSQL technologies to support marketing digitalization.

Machine learning Engineer at Samsung Research Institute, Noida, India

December 31, 2020 - July 25, 2025

Led a team of four engineers in building scalable AI/ML solutions and proof of concepts. Developed ML solutions for Samsung Smartphones, improving logs debugging and hate speech classification. Developed and deployed ML models as REST APIs using Python, Flask, and Docker. Implemented ML models on AWS Lambda and SageMaker for real time and batch inference. Designed CI/CD pipelines for model deployment and integration using GitHub Actions and AWS services.

Machine Learning Engineer Intern at Samsung Research Institute, Bangalore, India

July 31, 2018 - July 25, 2025

Implemented a predictive cooling system for Samsung smartphones, forecasting device temperature up to 15 seconds with RMSE of 1.17°C, using time series modeling techniques.