I am a Machine Learning Engineer focused on bridging the gap between theoretical research and production-grade software. I specialize in building high-throughput ML pipelines, real-time data acquisition layers for biophysical interfaces, and robust systems for automated threat detection and classification.
I focus heavily on:
- Production-Grade ML Pipelines: Designing and optimizing high-performance feature engineering and inference servers.
- Biophysical Signal Processing: Structuring low-latency hardware-software ingestion loops to capture and process EEG signals.
- Agentic GenAI & RAG: Architecting context-aware LLM agents and security assistants using vector stores and orchestrators.
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🧠 MindNav BCI
A hardware-software hybrid BCI streaming neocortex pyramidal neuron EEG signals to control real-time navigation.
PythonArduinoDeep LearningGUI Development -
🛡️ BCIShield
Research evaluating vulnerability of EEG motor imagery classifiers under adversarial attacks.
PyTorchAdversarial MLSignal ProcessingRobustness -
🚀 PhishBrain / SecRAG
An intelligent open-source, security-focused RAG agent and explainable classifier for URL classification.
FastAPILangChainVector DBLLM Systems