Machine Learning Engineer | AI Engineer | Data Scientist

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

I transitioned from the professional sphere to pursue my Master’s degree, captivated by the current surge in academia and to engage deeply within diverse research areas. I am a strong advocate for ethical applications of AI and believe in its positive implications to society. Currently, I am based in Cottbus, Germany, writing my masters thesis on model compression strategy.

My academic and professional interests are system design, speech recognition models (ASR), model compression (pruning and quantization), and application of reinforcement learning approaches for operations optimization.

TL;DR

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

• 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

• pyETA-toolbox (PyPI): Real-time eye-tracker streaming and fixation detection toolkit for a PhD graduate

  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/

• Bhattu, S. N., Nunna, S. K., Somayajulu, D. V., & Pradhan, B. (2020). Improving code-mixed POS tagging using code-mixed embeddings. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 19(4), 1–31.

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! ᨒ↟ 𖠰𖥧˚

Updated: June 1, 2026 (commit c1e4b61).