cyber security2024
Neural Threat Classifier
ML-powered intrusion detection system achieving 99.2% accuracy on NSL-KDD dataset using transformer architecture.
PythonTensorFlowCybersecurity
I'm Swayom Sharma — a multi-disciplinary engineer building secure, intelligent, and connected systems across Cyber Security, Data Science & IoT.
Threat intelligence, penetration testing, and security architecture. Building impenetrable systems through adversarial thinking.
Transforming raw data into predictive intelligence. Neural networks, deep learning models, and real-time analytics pipelines.
Bridging physical and digital realms. Embedded systems, sensor networks, and edge computing for connected environments.
ML-powered intrusion detection system achieving 99.2% accuracy on NSL-KDD dataset using transformer architecture.
Smart water quality monitoring network with real-time edge analytics, deployed across 40+ sensors in Himalayan villages.
Time-series forecasting platform processing 2M+ daily events with sub-100ms inference for supply chain optimization.