Machine Learning Engineer | AI Engineer | Data Scientist | AI Researcher

Namaste, I am a Master’s student in Artificial Intelligence at the Brandenburg University of Technology Cottbus-Senftenberg (BTU).

I transitioned from the professional world to pursue my Master’s degree, captivated by the current surge in academia and the opportunity to contribute to the AI revolution. I am a strong advocate for ethical applications of AI and believe in its positive implications to society. Currently, I reside in Cottbus, Germany, and working on my masters thesis.

My expertise and interests include system design, speech recognition models (ASR), model compression (pruning and quantization), and the application of reinforcement learning approaches for operations optimization. My primary programming language is Python, complemented by the use of Rust to enhance performance in system design. Additionally, I actively participate in hackathons to further develop my skills and stay engaged with the latest advancements in the field.

tl;dr

System Design | ASR Model | Model Compression| Deep Reinforcement Learning | Python/Rust | Ethical AI

If I align with your needs, feel free to contact me, and If my open-source projects help you, consider buying me a coffee.

• Research Assistant, BTU Cottbus–Senftenberg — PassiveBCI, PyQt6, EEG/eye-tracking, pyETA-toolbox, Constraint Programming, Reinforcement Learning, AI Research
• AI Data Engineer II, Fasal — MLOps (AWS SageMaker), AWS Lambda optimization, ETL pipeline, observability, pylogger_slack, structured logging
• Software Engineer II, Myelin Foundry — Edge AI Computing, MediaPipe, TFLite quantization, YOLOv5, gesture/emotion recognition, AutomotiveAI
• Data Science Engineer, Utopia (Prometheus Group) — NLP/data cleansing, Gaussian Models, REST APIs, CI/CD (Jenkins), SAP, Master Data Management

• Writings
  • 22-03-2025: pyETA toolbox - Eye tracking LSL Stream with fixation

Support my development

• pyETA-toolbox (PyPI): Real-time eye-tracker streaming and fixation detection toolkit for research (Peer-reviewed publication forthcoming)

  A LSL streaming for eye tracker device with real-time fixation detection (I-DT/I-VT style), live plots, and device validation reports for reproducible studies in the field of neuroscience and BCI. Find the pypi package here at https://pypi.org/project/pyETA-toolbox/

• pylogger-slack (PyPI): Structured logging with Slack notifications

  A logger with option to produce JSON/YAML/plain streaming logs, with correlation IDs and env-aware config; This improves observability and works better with elastic search. Find more about this packager with examples here at https://pypi.org/project/pylogger-slack/

• S. Nagesh Bhattu, Satya Krishna Nunna, D. V. L. N. Somayajulu, and Binay Pradhan. 2020. Improving Code-mixed POS Tagging Using Code-mixed Embeddings. ACM Trans. Asian Low-Resour. Lang. Inf. Process. 19, 4, Article 50 (July 2020), 31 pages. https://doi.org/10.1145/3380967

When I’m not geeking about machine learning, you’ll likely find me exploring trails or biking through the serenity of nature. My next big adventure? Hiking the Tatra Mountains in Slovakia/Poland!

If you’re into outdoor escapades, feel free to check out my journey on Komoot and If you got a cool trail in mind? Drop me a message, let’s turn it into an adventure worth logging!

Last updated: August 15, 2025 (commit ecdbe94).