2nd-year CS (Cybersecurity) student — Building AI security systems, autonomous agents, and contributing to open-source security tooling.
nikhilsai151416@gmail.com | github.com/NSK-394
I focus on the intersection of AI and security — systems that detect threats, automate decisions, and orchestrate multiple AI models.
- Anomaly detection and API security systems
- Agentic AI architectures with persistent memory
- Automation pipelines connecting multiple AI services
- Open-source security tooling (OWASP contributor)
Active contributor to OWASP Nettacker — two merged PRs to master, currently developing a detection module for CVE-2026-33017 (Langflow RCE, CVSS 9.8, CISA KEV).
| Project | What it does | Stack |
|---|---|---|
| Vigil AI | Autonomous API abuse detection — 4 AI agents with dual-engine ML + rule fusion | Python, FastAPI, scikit-learn |
| SchoolBridge | Security-first MCP server for school ERP data access | Python, MCP |
| Cross-AI Memory Vault | Persistent shared memory layer across GPT-4, Claude, and JARVIS | Python, FastAPI |
| JARVIS AI | Autonomous AI daemon with desktop awareness and multi-agent hierarchy | TypeScript, Bun |
| AI CCTV | Real-time CCTV analysis — YOLOv8 + GPT-4o-mini scene descriptions | Python, YOLOv8, OpenCV |
| CTF Write-ups | CTF solutions across web exploitation, binary analysis, pwn, and cryptography | Security |
- Languages: Python, TypeScript, JavaScript
- AI / LLM: OpenAI API, Anthropic Claude API, LangChain
- ML: scikit-learn, YOLOv8, Isolation Forest, anomaly detection
- Backend: FastAPI, Flask, REST API design, Node/Express
- Security: AppSec code review, vulnerability research, CTF (web exploitation, pwn, crypto)
- Tools: Git, Docker, Linux, n8n
- Interning across cybersecurity AppSec and AI engineering roles
- Competing in CTFs and doing responsible disclosure work
- Open to: AI / Backend / Security internship opportunities (Summer/Fall 2026)