Machine-Learning & Embedded Systems Engineer — cyber-physical systems, digital twins, autonomy, and low-level / systems-first engineering.
About Me · Stack & Skills · Current Status · Projects · Contact
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║ ⟦ cyber-physical learning systems engineering ⟧ ║
║ ⟦ under real-world constraints ⟧ ║
║ ⟦ low-level curious ⟧ ║
║ ⟦ autonomous systems curious ⟧ ║
║ ⟦ status: online ⟧ ║
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> name: Iason Tzanetatos
> role: machine learning engineer / electronic systems engineer
> focus: time-series · computer vision · digital twins · autonomy
> mode: python-first, low-level curious (c/c++), dsp-heavy
> os: linux-native
• machine learning engineer with a background in electronic systems
→ beng electrical & electronic systems
→ msc electronic systems engineering (dsp-focused)
• working across cyber-physical systems, digital twins, autonomy
→ time-series · computer vision · inference pipelines
→ low-level + high-level system integration
• comfortable at multiple layers of the stack
→ python-first · c/c++ curious · embedded linux · containers
→ edge devices · raspberry pi · microcontrollers (arduino · esp32)
• interested in systems where hardware, signals, and intelligence meet
→ real-time constraints · physical modeling · robotics · control systems
> core_languages
• languages → python · c · c++
• numerics → numpy · scipy · pandas · polars
> ml / dl / vision
• frameworks → pytorch · lightning · tensorflow/keras
• classical → scikit-learn · opencv · open3d · filtering/dsp
• architectures → cnn · rnn/lstm · gnns · neural operators · gan
• tasks → anomaly detection · segmentation · object detection (yolo/sam)
> mlops_&_ci_cd
• tracking → mlflow
• pipelines → dvc
• automation → github actions
• versioning → git · docker registries
> serving / infra
• apis → fastapi · streamlit · nicegui
• runtime → docker · nvidia triton · embedded linux (yocto)
• hardware → raspberry pi · arduino · esp32
> llms / agents
• local → ollama · llama.cpp · lm studio
• orchestration → crew.ai · adk · dspy
[+] building
→ ml systems with real-time + deployment constraints
[+] exploring
→ graph neural nets · neural operators for physical systems
[+] tinkering
→ raspberry pi setups · edge ml · 3d printing workflows
→ arduino · esp32 · sensors (iot / embedded interfacing)
[+] studying
→ robotics · ros2 · autonomous systems pipelines
> DeepFake-Detection-Lab
> [ computer-vision ] Deep learning approaches to synthetic media detection.
> LMS-Adaptive-Filter
> [ signal-processing ] Utilization of LMS algorithm for adaptive filtering of a stochastic audio signal.
> EigenNets
> [ ml-research ] Examining performance of "classical" supervised training vs boosted training.
> MSc_Dissertation
> [ research ] Unsupervised identification and tracking of objects using human interpretable algorithms.
> status: listening for interesting problems in time-series, cv, digital twins, autonomy.
> system: < system_state: idle | monitoring >