Currently Building 🛠️
Haseeb Khalid
AI Agent Infrastructure & Security Engineering
AI Agent Infrastructure & Security Engineering
AI Agent Infrastructure & Security Engineering specialist building terminal-native agent runtimes, RAG systems, and secure orchestration platforms. I've architected SynapsCLI (238K LOC Rust runtime), VelociRAG (4-layer retrieval engine), and security scanners that protect AI agent ecosystems.
With 3+ years defending cloud infrastructure and now pioneering agent-first architectures, I bridge traditional security with emerging AI paradigms. Currently pursuing my Master's in Cybersecurity at NJIT while teaching 100+ students cryptography and building production-ready agent systems.
When I'm not orchestrating multi-agent systems, you'll find me red-teaming MCP protocols, optimizing ONNX models, or debugging Tokio runtimes. 🦀 + 🤖 + 🔐 = Happy Haseeb.
Lead TA for CS408/CS608 (Cryptography & Security). Mentoring 100+ students in PKI, TLS/SSL, threat modeling, and secure coding practices.
Specializing in cloud security, appsec, and cryptography. Currently serving as a Graduate Teaching Assistant.
Graduated with a minor in Computational Intelligence. Active in cybersecurity research and competitive CTF leadership.
Production-ready agent orchestration runtime built in Rust. Multi-agent coordination via Model Context Protocol (MCP), async task execution with Tokio, persistent memory, semantic tool routing, and role-based access controls. Supports 20+ agent types with sub-200ms response times. Comprehensive testing suite and modular architecture. 238K LOC, 3,583 tests, 8 binaries across a 3-crate workspace, 3ms startup.
Open-source Rust TUI music client. 177 stars, 12 forks, 15 releases; 12 of 16 community pull requests merged from 6 external contributors, and 21 user-filed issues triaged.
9-crate Rust workspace designed to make "who-talks-to-whom" unanswerable to a global passive observer. ed25519/x25519 identities, ChaCha20-Poly1305 sealed boxes, a hand-rolled Double Ratchet, and encrypted headers over live Tor onion transport. 170 tests across 15 releases, #![forbid(unsafe_code)], key zeroization, and a published threat model.
Open-source security platform for Model Context Protocol (MCP). Dual-mode: static config scanning + real-time traffic interception via proxy. 14 detection rules covering prompt injection, rug pulls, credential leaks, tool shadowing, and cross-tool attack chains. Red-team validated against real-world CVEs (Invariant Labs, Anthropic Git MCP, marmelab PoC). 83% detection on 23-vector research corpus. Zero false positives. 252 tests.
Open-source 4-layer retrieval engine fusing vector search, BM25 keywords, knowledge graph traversal, and metadata filtering with RRF + cross-encoder reranking. ONNX-only — no PyTorch, no GPU, no API keys. Sub-200ms warm search. Ships with MCP server, CLI, and Unix socket daemon. Published on PyPI, AUR, and the official MCP Registry. 654 tests, 36K LOC.
Open-source memory system for AI agents. Three-tier extraction (local regex, LLM API, pi RPC), staged review pipeline with HMAC-SHA256 integrity signing, and 4-layer semantic search via VelociRAG. Features pattern learning with access-weighted importance scoring, tiered boot context, staleness caveats, and bulk document ingestion. Cross-agent compatible — works with Claude Code, Gemini CLI, or any MCP agent. 321 tests.
API-first security platform combining web vulnerability scanning (TLS, headers, XSS) with AWS cloud posture checks and CIS compliance mapping. Engineered modular recon pipeline with Docker.
Headless Linux server running 20+ Docker containers with Nginx reverse proxy, Pi-hole DNS, WireGuard VPN, and full observability (Prometheus, Grafana, Loki). Hosts a 12-agent AI orchestration system with semantic search and persistent memory.
Full-stack web app with Spotify OAuth integration enabling users to create personalized playlists merging top tracks from multiple artists.
Lightweight terminal-based audio player with URL/search playback and autoplay functionality using Python media libraries.
Led a 25-member team in 50+ global CTFs, achieving top 10 placements internationally.
Let's discuss how I can help architect your AI agent systems and secure them.
Have an agent architecture challenge or opportunity? I'd love to hear about it.
⚡ Usually respond within 24 hours
haseebkhalid1507@gmail.com
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