Machine Learning Engineer.
| Project | Focus | Core tools |
|---|---|---|
| CalmSense | Wearable signal classification | scikit-learn · PyTorch · React |
| NexusRAG | Research paper retrieval | LanceDB · Ollama · FastAPI |
| NovaVision | Images from emotion labels | PyTorch · Diffusers · CLIP |
| retinonorm | Synthetic Gaussian receptive fields | NumPy · SciPy |
| Multimodal-Multisensor | Descriptive recordings; 10 participants | pandas · SciPy · Jupyter |
| Sensor | Device comparison; 1 participant | Python · pandas |
| Psychometric | Bilingual keyed questionnaire scoring | JavaScript · jsPDF |
| PulseShift | Bike share demand and weather | scikit-learn · JavaScript |
| Antenna | Patch antenna reports and checks | CST · VBA · Python |
| shono | Bengali transcription and scoring | Python · jiwer |
| glassbox | Interface scoring fixtures | Python · HTML/CSS |
| portfolio | Static portfolio and accessibility | HTML · CSS · JavaScript |
Keywords: signals · vision · retrieval · evaluation