I am a Security Research & DevOps Engineer based in Abbottabad, specializing in building resilient, AI-driven infrastructure and high-performance network intelligence systems. My work bridges the gap between deep packet inspection, real-time IoT monitoring, and automated security operations.
- 🔭 I’m currently working on RISKX, a research-first enterprise cyber-risk CLI.
- 🌱 I’m currently learning Advanced Rust for Network Programming and LLM Observability.
- 👯 I’m looking to collaborate on Open Source Security Tooling and AIOps Frameworks.
- 💬 Ask me about nDPI, ntopng, Kubernetes, and Healthcare IoT.
- ⚡ Fun fact: I believe that automated evidence beats manual guessing every time.
| Category | Tools & Technologies |
|---|---|
| Languages | Python, TypeScript, Go, C, Rust, Shell, SQL |
| DevOps & Cloud | Kubernetes, Docker, Terraform, GitHub Actions, AWS, EKS |
| Security & Networking | nDPI, ntopng, OpenShift, SOC Automation, Risk Intelligence |
| AI & Data | RAG Systems, Neural Networks, Kafka, MQTT, ELK Stack, Grafana |
| Web Development | React, Node.js, Tailwind CSS, Fast API |
| Citizen Science | Open Data, Reproducible Research, Scientific Computing, Data Visualization |
I am an active contributor to the global developer community, focusing on networking and infrastructure:
- ntop/nDPI: Contributing to deep packet inspection logic and protocol detection.
- ntop/ntopng: Enhancing web-based traffic and cybersecurity monitoring.
- kubernetes/kubernetes: Participating in the ecosystem of production-grade container orchestration.
- grafana/grafana: Improving observability and data visualization components.
🛡️ RISKX
A research-first enterprise cyber-risk CLI for attack-surface discovery and risk prioritization. Built with Go, it emphasizes evidence-backed vulnerability intelligence.
An open-source AIOps platform designed to reduce alert noise and detect anomalies using Python and LLMs, helping SRE teams diagnose incidents with clarity.
A real-time patient monitoring system leveraging Docker, Kubernetes, Kafka, and AI to provide scalable medical data processing.
