SentinelX
A host-deployable NIDS that captures raw packets, runs real-time detections in a C++ engine, and streams MITRE ATT&CK-mapped alerts into a live SOC dashboard.
I turn raw telemetry into useful decisions — building detection systems, forensic tooling, and secure products from packet capture to interface.
Selected systems where detection logic, engineering discipline, and a usable interface all matter.
A host-deployable NIDS that captures raw packets, runs real-time detections in a C++ engine, and streams MITRE ATT&CK-mapped alerts into a live SOC dashboard.
A zero-dependency, fail-closed security proxy for MCP. It inspects tool calls before execution to block leaked secrets, prompt injection, and unsafe file operations.
A Windows login artifact extraction and analysis framework with correlation, detection, live monitoring, and chain-of-custody aware forensic reporting.
A multi-protocol honeypot network that emulates six services, captures adversary behavior, maps activity to ATT&CK, and turns observations into searchable IOCs.
CVE Explorer, automation scripts, CTF tooling, and more.
I am most interested in the exact moment noisy technical data becomes a clear, defensible decision.
That is why my work crosses boundaries: low-level packet processing in C++, analysis workflows in Python, and full-stack interfaces that make the result useful to a human operator.
Away from the terminal, I captain a basketball team. Both disciplines reward the same things — awareness, preparation, and knowing when to act.
SentinelX, MCPGuard, WinLogin Forensics, and hands-on blue-team research.
Team competition across web exploitation, reverse engineering, and cryptography.
SOC analysis, threat hunting, malware analysis, network forensics, and incident response labs.
Madan Mohan Malaviya University of Technology, Gorakhpur.
I work across the stack because defensive systems are only as strong as the path between collection, logic, and action.
Finding signal in network, endpoint, and application telemetry — then turning it into repeatable detection logic.
Investigating artifacts with a bias toward evidence integrity, reproducibility, and reports that another analyst can trust.
Shipping the engine and the interface — from performance-sensitive C++ and Python services to usable web products.
Build logs, forensic walkthroughs, and notes from breaking systems in controlled environments.
Have a security role, useful collaboration, or an interesting problem in mind?
Send the short version. I usually respond within a day and I am open to internships, project work, and research conversations.