Ekaansh K.

Master thesis - LLM powered RAG System

Erlangen, Germany

Experience

Dec 2024 - May 2025
6 months
Erlangen, Germany

Master thesis - LLM powered RAG System

Friedrich-Alexander-Universität Erlangen-Nürnberg

  • Developed a RAG system to automate student queries with 96% accuracy. Built using FastAPI, Langchain and deployed on the university server with Docker.
  • Evaluated performance using RAGAS, comparing LLMs (Llama3.3, Llama3.1, GPT-4o-mini), vector embeddings, and various retrieval techniques within the RAG pipeline.
  • Technical Skills: Python, FastAPI, Docker, AWS, LangChain, LangSmith, NLP, HTML, CSS
Nov 2023 - May 2025
1 year 7 months
Forchheim, Germany

Working Student - Data Scientist

Siemens Healthineers

  • Used LLM 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.
  • Technical Skills: Python, Azure, Snowflake, LangChain, PyTorch, LLMs, NLP, Power BI, SQL, Excel
Nov 2023 - Dec 2024
1 year 2 months
Nuremberg, Germany

Research Student - Machine Learning and GenAI

Institute FAPS

  • Performed multi-label classification on electromagnetic coil dataset, attaining an F1-score of 0.94.
  • Investigated Stable Diffusion img2img and Dreambooth txt2img techniques for data augmentation on the electromagnetic coil dataset, achieved 2.1% improvement in F1-score using img2img technique.
  • Technical Skills: Python, PyTorch, Optuna, Stable Diffusion, Deep learning, Computer Vision, HPC
Jul 2022 - Mar 2023
9 months
Erlangen, Germany

Working Student - Data Scientist

Siemens Healthineers

  • Performed data preprocessing on marketing data, including cleaning, transformation, and normalization, ensuring analytical readiness and reducing manual effort by 45%.
  • Used SQL and Excel to analyze invitations sent to leads for an online marketing event.
  • Technical Skills: Python, SQL, Selenium, Beautiful Soup, Power BI, Excel
Jun 2019 - Dec 2020
1 year 7 months
Noida, India

Data Scientist

Samsung Research Institute

  • Led a team of four engineers in building scalable AI/ML solutions and proof of concepts (PoCs).
  • 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.
  • Technical Skills: Python, AWS, MLOps, REST API, Flask, Docker, CI/CD, PyTorch, NLP
May 2018 - Jul 2018
3 months
Bengaluru, India

Data Scientist Intern

Samsung Research Institute

  • 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.
  • Technical Skills: Python, Scikit-learn, SciPy, Matplotlib, Pandas, Time series modeling

Languages

English
Native
Hindi
Native
German
Elementary

Education

Oct 2021 - May 2025

Friedrich-Alexander-Universität Erlangen-Nürnberg

Master of Science in Data Science, Major in AI and Machine Learning · Data Science · Erlangen, Germany

Jul 2018 - May 2019

Indian Institute of Technology (IIT), Dhanbad

Master of Technology in Computer Science and Engineering · Computer Science and Engineering · Dhanbad, India

Jul 2014 - Jun 2018

Indian Institute of Technology (IIT), Dhanbad

Bachelor of Technology in Computer Science and Engineering · Computer Science and Engineering · Dhanbad, India

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