I'm Sadaf Siddiqui, a Product Owner & Technical Leader and Full-Stack Engineer focused on building cost-efficient, production-grade AI systems using AWS Lambda, Bedrock Foundation Models, API Gateway, and containerized FastAPI services via ECR, with Terraform-driven infrastructure for scalable and reproducible deployments.

I specialize in agentic AI workflows, designing self-correcting, multi-step systems using LangGraph, LangChain (Python), and OpenAI models. My work emphasizes reliability through LLM-as-a-judge patterns combined with programmatic validation techniques (e.g., Flesch-Kincaid readability), enabling high-quality, trustworthy outputs. I’ve applied these approaches to product specification automation, educational platforms, and AI-driven data workflows, while actively optimizing for cost, latency, and scalability.

Alongside my engineering work, I bring strong product leadership experience. As a Certified Scrum Product Owner (CSPO), I’ve led cross-functional teams, managed product backlogs, and translated business requirements into scalable technical solutions. I focus on aligning engineering execution with business outcomes, ensuring both customer impact and technical excellence.

With over a decade of experience, I’ve built a solid foundation in full-stack development and system architecture. I started with PHP ecosystems (Laravel, CodeIgniter, Symfony) and evolved into modern web technologies with deep expertise in the MERN stack (MongoDB, Express.js, React.js, Node.js), developing scalable AI-driven web and mobile applications and cloud-based systems.

• React.js & Frontend Systems: Advanced experience with Hooks, Context API, Redux, and scalable component architectures
• Next.js: Building high-performance, SEO-optimized applications
• TypeScript: Strong focus on type safety and maintainability
• UI Engineering: Clean, accessible interfaces using Material UI and Tailwind CSS
• Testing: TDD practices with Jest and Enzyme
• Backend & APIs: REST and GraphQL APIs using Node.js, Express.js, and TypeORM
• Cloud (AWS): Experience with EC2, Amplify, and modern serverless and containerized architectures
• Databases: SQL (MySQL, PostgreSQL) and NoSQL (MongoDB), including indexing and aggregation strategies

• Building AI-powered workflows for web research and product data pipelines
• Designing multi-node, cyclic agent architectures with validation loops
• Implementing RAG (Retrieval-Augmented Generation) for context-aware systems
• Optimizing cost, latency, and reliability in large-scale AI deployments

My approach is grounded in writing clean, well-architected systems that balance performance, scalability, and maintainability. I’m particularly interested in the intersection of software engineering, product strategy, and intelligent systems—where strong technical foundations meet adaptive, AI-driven innovation.