Hello, I'm

Srinikhil
Chakilam

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About

I'm an engineer and researcher specializing in Artificial Intelligence, Cybersecurity, and Backend Engineering. I build intelligent systems that solve complex problems, from autonomous threat detection to automated penetration testing.

My open-source work primarily centers around building robust AI tools in Python that augment the capabilities of SOC analysts and security researchers. I believe in bridging the gap between cutting-edge LLMs and practical security applications.

0+ Open Source Projects
0+ Core Domains
0% Open Source

Research

AI · Security 2025

LLM-Augmented Threat Intelligence

Developing a framework for using large language models to parse, correlate, and prioritize CVE feeds and threat reports, delivering structured alerts to SOC teams in real time.

Automation · PenTest 2024

Autonomous Penetration Testing Pipeline

A Python-based pipeline that chains Nmap, Metasploit, and GPT-4 to autonomously enumerate, exploit, and report vulnerabilities in sandboxed environments — reducing manual effort by ~70%.

Backend · Distributed Systems 2024

High-Throughput Event Streaming Architecture

Designed a Kafka-backed microservice mesh capable of processing 2M+ events/sec with sub-10ms p99 latency, deployed on Kubernetes with auto-scaling policies.

Projects

Security · Python · OSINT

shadowmap

Passive attack surface mapper using certificate transparency, DNS enumeration, and AI-powered risk analysis. No active scanning — full recon from public data only.

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AI · Security · LLM

llmguard-cli

Real-time prompt injection and jailbreak detector for LLM pipelines. Multi-layer defense: heuristics + AI meta-reasoning. Includes an HTTP API for easy integration.

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AI · SOC · Python

ai-siem-triage

AI-powered SIEM alert triage assistant for SOC analysts — classifies alerts by severity, prioritizes response queue, and recommends remediation actions in plain language.

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Systems · Rust · CLI

rust-grep-tool

A fast, minimal CLI file search tool written in Rust. Built to explore Rust's ownership model, iterators, and performance characteristics on real-world file I/O.

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DevSecOps · AI · Python

gitleaks-ai

AI-enhanced secrets scanner combining Shannon entropy analysis with LLM-powered false-positive elimination. Drop-in upgrade to gitleaks with smarter detection and fewer noise alerts.

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Security · Java · OWASP

spring-api-scanner

AI-powered REST API security scanner that analyzes OpenAPI 3.x specs for OWASP API Top 10 vulnerabilities — injection flaws, auth gaps, excessive data exposure, and more.

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Writing

Technical deep-dives published on LinkedIn — systems design, LLM infrastructure, and AI security explained from first principles.

Blog

Thoughts on AI, security engineering, and building in public.

Let's Connect

I'm always open to discussing new ideas, research collaborations, or interesting projects. Reach out through any of the channels below.