Varmas Indukuri

I’m a B.Tech EEE graduate who’s built my cybersecurity and machine learning skills entirely outside of work hours. I’ve worked as a Security Engineer and I currently serve as a DC drives and VFD service engineer, blending real-world systems thinking with security-focused engineering. I’m driven by building practical detection systems that can run reliably.

I independently built PROTECTOR, a 14-agent real-time malware and intrusion detection system trained on CIC-IDS 2018, UNSW-NB15, and BETH. Its stacked meta-learner achieves ~98% accuracy, with SHAP explainability and GradCAM attention heatmaps—plus features like attack family classification, packer detection, shellcode scanning, and C2 beacon detection.

I also built ICS/OT Security—HAI Dataset work spanning 4 versions of the HAI benchmark, using TCN-BiLSTM with MultiHead Attention, LSTM Autoencoder, and RF + XGBoost on 589 engineered features. I automated MITRE ATT&CK for ICS attribution (T0836/T0838/T0855) from SHAP top features to physical subsystems.

I’m open to Security Data Scientist, ML Engineer, Anomaly Detection, and MLOps remote roles and freelance projects. I’m also credentialed with Neo4j Graph Data Science certification (Dec 2025), ISC2 Certified in Cybersecurity—CC (Apr 2026), and Databricks Fundamentals certification (Feb 2025).