Ekaansh Khosla - Master thesis - LLM powered RAG System

Q: Where is Ekaansh based?

Ekaansh is based in Erlangen, Germany .

Q: What languages does Ekaansh speak?

Ekaansh speaks the following languages: Hindi (Native), English (Advanced), German (Elementary) .

Q: How many years of experience does Ekaansh have?

Ekaansh has at least 4 years of experience. During this time, Ekaansh has worked in at least 5 different roles and for 4 different companies . The average length of individual experience is 1 year and 8 months . Note that Ekaansh may not have shared all experience and actually has more experience.

Q: What is Ekaansh's latest experience?

Ekaansh's most recent position is Master thesis - LLM powered RAG System at Friedrich-Alexander-Universität Erlangen-Nürnberg .

Q: What companies has Ekaansh worked for in recent years?

In recent years, Ekaansh has worked for Friedrich-Alexander-Universität Erlangen-Nürnberg , Siemens Healthineers , and Institute FAPS .

Q: Which industries is Ekaansh most experienced in?

Ekaansh is most experienced in industries like Information Technology (IT) , Healthcare , and Manufacturing . Ekaansh also has some experience in Education .

Q: Which business areas is Ekaansh most experienced in?

Ekaansh is most experienced in business areas like Research and Development (R&D) , Business Intelligence , and Information Technology (IT) . Ekaansh also has some experience in Quality Assurance (QA) , Product Development , and Marketing .

Q: What is Ekaansh's education?

Ekaansh holds a Master in Data Science from Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg , a Master in Computer Science and Engineering from Indian Institute of Technology (IIT) Dhanbad and a Bachelor in Computer Science and Engineering from Indian Institute of Technology (IIT) Dhanbad .

Recommended expert

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 and 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, achieving a 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.
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

Industries Experience

See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.

Experienced in Information Technology (3 years), Healthcare (2 years), Manufacturing (1.5 years), and Education (0.5 years).

Information Technology

Healthcare

Manufacturing

Education

Business Areas Experience

The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.

Experienced in Research and Development (3 years), Information Technology (2 years), Business Intelligence (2 years), Quality Assurance (1.5 years), Product Development (1.5 years), and Marketing (0.5 years).

Research and Development

Information Technology

Business Intelligence

Quality Assurance

Product Development

Marketing

Skills

Prog. Lang.: Python, Sql, R, Java, C++, Html, Css, Javascript, Typescript
Mlops Tools: Git, Github, Mlflow, Docker, Ci/cd, Rest Api, Fastapi, Flask, Aws, Azure, Gcp
Ai/ml/dl/genai: Pytorch, Pytorch Lightning, Tensorflow, Keras, Rag, Llm Fine-tuning, Langchain, Langgraph, Hugging Face, Computer Vision, Nlp, Stable Diffusion, Dreambooth
Data Science And Analytics: Pandas, Numpy, Scikit-learn, Xgboost, Random Forest, Plotly, Matplotlib, Feature Engineering, Exploratory Data Analysis, Hypothesis Testing, Etl, Power Bi, Excel, Qlik
Big Data: Databricks, Apache Spark, Pyspark, Data Warehousing
Databases: Postgresql, Ms Sql, Nosql, Mongodb

Languages

Hindi

Native

English

Advanced

German

Elementary

Education

Oct 2021 - May 2025

Friedrich-Alexander-Universität (FAU) 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

Profile

Created

October 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Ekaansh based?

Ekaansh is based in Erlangen, Germany.

What languages does Ekaansh speak?

Ekaansh speaks the following languages: Hindi (Native), English (Advanced), German (Elementary).

How many years of experience does Ekaansh have?

Ekaansh has at least 4 years of experience. During this time, Ekaansh has worked in at least 5 different roles and for 4 different companies. The average length of individual experience is 1 year and 8 months. Note that Ekaansh may not have shared all experience and actually has more experience.

What roles would Ekaansh be best suited for?

Based on recent experience, Ekaansh would be well-suited for roles such as: Master thesis - LLM powered RAG System, Working Student - Data Scientist, Research Student - Machine Learning and GenAI.

What is Ekaansh's latest experience?

Ekaansh's most recent position is Master thesis - LLM powered RAG System at Friedrich-Alexander-Universität Erlangen-Nürnberg.

What companies has Ekaansh worked for in recent years?

In recent years, Ekaansh has worked for Friedrich-Alexander-Universität Erlangen-Nürnberg, Siemens Healthineers, and Institute FAPS.

Which industries is Ekaansh most experienced in?

Ekaansh is most experienced in industries like Information Technology (IT), Healthcare, and Manufacturing. Ekaansh also has some experience in Education.

Which business areas is Ekaansh most experienced in?

Ekaansh is most experienced in business areas like Research and Development (R&D), Business Intelligence, and Information Technology (IT). Ekaansh also has some experience in Quality Assurance (QA), Product Development, and Marketing.

What is Ekaansh's education?

Ekaansh holds a Master in Data Science from Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, a Master in Computer Science and Engineering from Indian Institute of Technology (IIT) Dhanbad and a Bachelor in Computer Science and Engineering from Indian Institute of Technology (IIT) Dhanbad.

What is the availability of Ekaansh?

The availability of Ekaansh needs to be confirmed.

What is the rate of Ekaansh?

Ekaansh's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.