Engineering intelligent systems for modern applications. I specialize in machine learning, threat detection, and seamless digital experiences. Based in Visakhapatnam, India.
Python, TensorFlow / PyTorch, LangChain, Multi-Agent Systems, RAG Pipelines
SOC Analysis, SIEM / Splunk, Network Packet Analysis, Threat Intelligence, Malware Triage
Flutter / Dart, Firebase / GCP, FastAPI, Docker / CI/CD, System Architecture
Working in Machine Learning, Cybersecurity, and CCNA. Building end-to-end intelligent systems and contributing to cutting-edge AI-driven solutions.
Developing classification models achieving up to 98% accuracy. Building end-to-end ML pipelines, feature engineering, and evaluation systems.
Monitored SOC alerts and performed incident triage. Tuned SIEM rules to reduce false positives, conducted MITRE ATT&CK-based threat hunting, and built a DDoS detection & rogue WiFi monitoring tool.
Built multiple Unity (C#) games including a ball-rolling puzzle, obstacle runner, and an FPS shooter. Implemented core gameplay systems, optimized memory usage, and focused on modular C# scripting.
A comprehensive Security Operations Center simulation using ELK stack, Wazuh, and custom Python scripts, with MITRE ATT&CK mapping and automated threat hunting playbooks.
A machine learning pipeline built with Scikit-learn and FastAPI that detects sophisticated phishing attempts, achieving 94% accuracy on a custom dataset of 10,000+ emails.
An end-to-end deepfake detection system analyzing video and audio for signs of manipulation, with an educational chatbot explaining the findings.
A lightweight Python utility using scapy to monitor network traffic and detect volumetric SYN flood and UDP flood attacks in real time.
A regression model deployed as a RESTful API, predicting diamond prices from cut, color, clarity, and dimensions, with a full EDA notebook and Docker deployment.