I design and ship scalable products across backend systems, AI-driven applications, and cross-functional engineering teams.
- Build and scale backend architecture, APIs, and distributed systems for production workloads
- Deliver practical AI/LLM product features using RAG, agent workflows, evaluation, and fine-tuning
- Lead engineering execution across backend, web, and React Native teams with product-first delivery
- Own cloud and DevOps workflows, from CI/CD and containers to observability and infrastructure reliability
I publish apps and extensions under NADESOFT.
- Products in progress: Smart Pathshala and Easy Truck
- Backend engineering: APIs, reliability, distributed systems, scalability, and platform architecture
- AI applications: LLM integrations, RAG pipelines, agentic systems, and quality evaluation workflows
- Engineering leadership: delivery quality, collaboration, and technical direction across teams
- Cloud and DevOps: CI/CD, Docker, Kubernetes, AWS, Google Cloud, and production observability
- Backend architecture and system design for scalable products
- API design, integration, and performance optimization
- AI feature implementation using LLMs, retrieval pipelines, and agents
- Full-stack collaboration with web and React Native product teams
- Delivery process improvement through engineering leadership and standards
Mobile support: React Native
AI focus: LLM applications · RAG · embeddings · vector search · agents · prompt engineering · fine-tuning · evaluation
- Product-minded engineering with long-term maintainability
- Spec-driven development and clear execution planning
- Embedded experimentation with ESP32 and Raspberry Pi
- Game-development exploration with Unity and interactive systems