I design and build scalable workflow orchestration systems that simplify complex data automation using Python, Kubernetes, and cloud-native architecture.
Currently focused on creating developer-first platforms that allow teams to design, deploy, and run data workflows with minimal infrastructure overhead.
- 🏗️ Architect dynamic workflow systems (DAG-based execution, automation engines)
- ☁️ Build cloud-native platforms on AWS (EKS, Karpenter, scalable infra)
- ⚙️ Develop automation-first backends using Python & FastAPI
- 📦 Design containerized systems using Docker + Kubernetes
- 🔄 Enable CI/CD & DevOps automation at scale
- 🔐 Work on secure, production-grade infrastructure & networking
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🚀 Quantum Datalytica Platform
- A system where users can design and execute data workflows visually
- Modular “Quantum Machines” for reusable automation components
- Workflow orchestration powered by Kubernetes & dynamic execution engines
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🛠️ Building tools for:
- Workflow designers
- Machine developers
- Automation-first infrastructure
- Workflow orchestration systems
- Developer tooling & CLI platforms
- Kubernetes-based platforms
- Automation & DevOps ecosystems
- Open-source infrastructure tools
Build systems that eliminate complexity, not add to it.
Automation should feel like leverage, not overhead.