Spoorthy Siddannaiah - Machine Learning Research Engineer

Q: Where is Spoorthy based?

Spoorthy is based in Ulm, Germany .

Q: What languages does Spoorthy speak?

Spoorthy speaks the following languages: English (Advanced), German (Intermediate) .

Q: How many years of experience does Spoorthy have?

Spoorthy has at least 3 years of experience. During this time, Spoorthy has worked in at least 3 different roles and for 3 different companies . The average length of individual experience is 1 year and 11 months . Note that Spoorthy may not have shared all experience and actually has more experience.

Q: What is Spoorthy's latest experience?

Spoorthy's most recent position is Machine Learning Research Engineer at Fraunhofer EMFT .

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

In recent years, Spoorthy has worked for Fraunhofer EMFT , Fraunhofer EMI/Fraunhofer IEE , and Ulm University .

Q: Which industries is Spoorthy most experienced in?

Spoorthy is most experienced in industries like Energy , Manufacturing , and Education . Spoorthy also has some experience in Healthcare .

Q: Which business areas is Spoorthy most experienced in?

Spoorthy is most experienced in business areas like Research and Development (R&D) , Information Technology (IT) , and Product Development .

Q: What is Spoorthy's education?

Spoorthy holds a Master in Communication and Information Technology from University of Ulm and a Bachelor in Electronics and Communication Engineering from National Institute of Engineering .

Q: What is the availability of Spoorthy?

Spoorthy is immediately available full-time for suitable projects.

Recommended expert

Ulm, Germany

Experience

Apr 2024 - Apr 2025

1 year 1 month

Munich, Germany

Machine Learning Research Engineer

Fraunhofer EMFT

Developed end-to-end predictive modeling pipelines for sensor data, improving Remaining Useful Life (RUL) estimation accuracy by 15%
Developed an active learning workflow with uncertainty sampling, reducing manual labeling by 30%
Used MLflow for experiment tracking, hyperparameter logging, and model versioning, ensuring reproducible training pipelines
Leveraged CI/CD tools (Jenkins, GitHub Actions) to automate deployment processes and reduce model release cycles

Sep 2022 - Feb 2024

1 year 6 months

Freiburg im Breisgau, Germany

Research Assistant

Fraunhofer EMI/Fraunhofer IEE

Improved energy grid prediction accuracy by 12% using LSTM and CNN on multi-output time series data
Curated and preprocessed domain-specific datasets for fine tuning LLMs injury risk analysis
Fine-tuned open-source LLMs (BERT, LLaMA), achieving F1-score of 0.85 in injury risk classification
Built RAG workflows with LangChain and FAISS, improving QA accuracy by 15% via context-aware retrieval
Applied prompt engineering and evaluated LLM outputs, improving prediction consistency and reducing errors
Integrated Hugging Face and OpenAI APIs into enterprise applications
Automated CI/CD pipelines for reproducible training, versioning, and streamlined deployment

Jun 2022 - Aug 2022

3 months

Ulm, Germany

Student Research Assistant

Ulm University

Cleaned, preprocessed, and analyzed bioimpedance sensor time-series data using Pandas, NumPy, and SQL

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 Energy (1.5 years) and Manufacturing (1 year).

Energy

Manufacturing

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 Information Technology (2.5 years), Research and Development (2.5 years), and Product Development (1 year).

Information Technology

Research and Development

Product Development

Summary

Machine Learning Research Engineer with 2+ years of experience in deep learning, NLP, and LLMs. Specialized in building robust ML pipelines for real-world sensor systems and NLP applications, with strong expertise in LLM fine-tuning, RAG workflows, and scalable deployment.

Skills

Python
Sql
Azure
Aws
Docker
Ci/cd Pipelines
Git
Linux
Nlp
Llms
Transformers
Rag
Reinforcement Learning
Pytorch
Tensorflow
Scikit-learn
Pandas
Numpy
Matplotlib
Langchain
Hugging Face

Languages

English

Advanced

German

Intermediate

Education

Apr 2021 - Apr 2025

University of Ulm

Master of Science, Communication and Information Technology · Communication and Information Technology · Ulm, Germany

Aug 2015 - Aug 2019

National Institute of Engineering

Bachelor of Engineering, Electronics and Communication Engineering · Electronics and Communication Engineering · India

Profile

Created

October 2025

Last Update

December 2025

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Frequently asked questions

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

Where is Spoorthy based?

Spoorthy is based in Ulm, Germany.

What languages does Spoorthy speak?

Spoorthy speaks the following languages: English (Advanced), German (Intermediate).

How many years of experience does Spoorthy have?

Spoorthy has at least 3 years of experience. During this time, Spoorthy has worked in at least 3 different roles and for 3 different companies. The average length of individual experience is 1 year and 11 months. Note that Spoorthy may not have shared all experience and actually has more experience.

What roles would Spoorthy be best suited for?

Based on recent experience, Spoorthy would be well-suited for roles such as: Machine Learning Research Engineer, Research Assistant, Student Research Assistant.

What is Spoorthy's latest experience?

Spoorthy's most recent position is Machine Learning Research Engineer at Fraunhofer EMFT.

What companies has Spoorthy worked for in recent years?

In recent years, Spoorthy has worked for Fraunhofer EMFT, Fraunhofer EMI/Fraunhofer IEE, and Ulm University.

Which industries is Spoorthy most experienced in?

Spoorthy is most experienced in industries like Energy, Manufacturing, and Education. Spoorthy also has some experience in Healthcare.

Which business areas is Spoorthy most experienced in?

Spoorthy is most experienced in business areas like Research and Development (R&D), Information Technology (IT), and Product Development.

What is Spoorthy's education?

Spoorthy holds a Master in Communication and Information Technology from University of Ulm and a Bachelor in Electronics and Communication Engineering from National Institute of Engineering.

What is the availability of Spoorthy?

Spoorthy is immediately available full-time for suitable projects.

What is the rate of Spoorthy?

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