I work at the intersection of neuroscience and machine learning. Recently, I have built real-time EEG processing and visualization tools, synchronized data across EEG, olfactory and vision streams using LSL, and explored interpretable models including LSTM and Bayesian networks to explain behavior. I also work on signal processing, machine learning projects and love applied mathematics. Currently, Learning more about Reiminnian Geometry and its applications.
Converts speech to rap by aligning phonemes and syllables to rhythm using recognition, syllabification, and time-scale modification.
Real-time form analysis for exercises (curls, squats, deadlifts). Video streaming via Django StreamingHttpResponse.
AI voiceover reads top Reddit content over slow engaging background video to leverage retention patterns.
Implementations for solving non-linear equations; numeric methods and examples.
SNN-based ECG classification experiments on neuromorphic-inspired pipelines.
Hyperparameter tuning and training of a One-Class SVM for anomaly detection.
FastAPI proxy for Hugging Face models on Truefoundry; standardizes requests and responses.
Python, C/C++, Rust(Learning), Typescript, JavaScript, HTML/CSS, GDscript, C# (Unity)
Django, FastAPI, MongoDB, TensorFlow, PyTorch, LangChain, ChromaDB, snnTorch, Git, Docker
Open to collaboration and research-driven projects.
