name: Hira Ahmed
role: AI Systems & Automation Engineer | Cybersecurity Researcher
focus: Multi-agent architectures, deterministic RAG pipelines, cloud security automation
research: Neuro-symbolic AI — coupling neural LLM generation with Z3 SMT formal verification
to guarantee provably correct, hallucination-free execution
credentials: Lead Author @ IEEE Transactions on Cloud Computing (under review)
Invited Peer Reviewer @ IEEE Access (Web of Science, ResearcherID QIV-1552-2026)
Creator of CloudFix-Bench — 105 verified cloud security benchmarks (Zenodo)
education: B.S. Cybersecurity @ Sir Syed University of Engineering & Technology (SSUET)
believes_in: Zero-hallucination AI, citation-enforced retrieval, async-first backendsLead Author, "Sentinel-Mesh: A Neuro-Symbolic Framework for Formally Verified Remediation of Cloud Misconfigurations" Coupled LLM patch synthesis with Z3 SMT verification, achieving an 83.81% remediation rate across 105 AWS cases with a 0% regression rate. Manuscript under review at IEEE Transactions on Cloud Computing (ID: TCC-2026-08-0693).
CloudFix-Bench : open-source benchmark of 105 verified cloud security cases, archived on Zenodo.
Verified Peer Reviewer, IEEE Access : invited by an Associate Editor to review 5 international manuscripts on AI privacy, vision transformers, and access control.
Languages
AI / LLM / Agentic Frameworks
Backend & Cloud
Databases & Storage
Automation, Orchestration & Testing
Also: Async State Machines · Concurrency Locks · Dead Letter Queues (DLQ) · Agentic Workflows