Masum Huq

I’m a hands-on technology delivery leader, builder, and cybersecurity practitioner passionate about creating products and solutions that solve meaningful real-world problems. My experience spans enterprise transformation, cybersecurity, AI, energy, electric mobility, and emerging technologies, with a strong focus on turning complex technology into practical, secure, production-ready solutions.

Real-World

I have extensive experience designing and building AI-powered applications using LLMs, RAG, and intelligent AI agents. My work includes integrating OpenAI, Anthropic, Gemini, and local models, designing multi-provider AI architectures and LLM gateways, and developing RAG systems using embeddings, document processing, semantic search, pgvector, contextual retrieval, and prompt augmentation.

I also build and continuously improve agent-driven and workflow-based systems involving API and tool integration, voice AI agents, multi-agent orchestration, MCP, automated workflows, and multi-tenant SaaS architectures. I focus heavily on enterprise requirements including security, RBAC, tenant isolation, PII/PHI protection, observability, governance, secure architecture, and responsible AI deployment.

Cybersecurity

I actively work across offensive and defensive cybersecurity, including bug bounty research, penetration testing, vulnerability discovery, web and application security, API security, cloud security, red teaming, blue teaming, threat intelligence, and secure software development. My security work involves identifying, validating, documenting, and helping remediate real-world vulnerabilities across applications, APIs, infrastructure, and cloud environments.

I conduct authorized security testing and bug bounty research, using a combination of manual investigation, automated tooling, AI-assisted analysis, reconnaissance, vulnerability assessment, exploitation validation, and security research. I’m particularly interested in combining AI agents with offensive security workflows to accelerate reconnaissance, investigation, attack-surface analysis, vulnerability triage, evidence collection, and reporting—while maintaining human oversight and authorization throughout the process.

On the defensive side, I focus on secure-by-design architectures, application and cloud security, threat detection, attack-surface reduction, security controls, resilient platforms, and practical remediation. I approach cybersecurity as an ongoing engineering discipline rather than something added at the end of a development lifecycle.

I’m also building and using AI-assisted cybersecurity workflows and autonomous agent capabilities, with multiple human team members working alongside forward-deployed AI agents that perform supervised autonomous tasks across our technology, research, development, and cybersecurity operations. The goal is not simply automation—it is creating a human + AI operating model where agents can continuously investigate, analyze, execute defined tasks, and surface actionable intelligence while humans retain oversight, judgment, and control.

I’m driven by the intersection of AI, cybersecurity, energy, and emerging technologies—and by turning innovation into practical, secure solutions with real-world impact.

Books on Amazon (Masum Huq): What The Neighbors Knew, AI Agents for Everyone, Delegation to Silicon