Snehal S.

I’m Snehal Shah, a Top Rated Plus senior full stack engineer with 15+ years of experience and 100+ successful deliveries across AI, SaaS, and HealthTech products.

I help startups and enterprises ship AI features and production web applications fast — with clean architecture, predictable releases, and strong engineering fundamentals.

I build:
◾ AI copilots and chat systems with RAG over PDFs, databases, and company knowledge bases
◾ SaaS MVPs from idea to production
◾ Data-aware AI assistants that call APIs and orchestrate tools
◾ Scalable backend platforms with secure APIs and cloud infrastructure
◾ Modern web applications with crisp UX and reliable performance

My core stack:
◾ Frontend: React, TypeScript, Angular
◾ Backend: Python, FastAPI, .NET Core, Node
◾ Cloud: AWS, Docker, Kubernetes
◾ Databases: PostgreSQL, MongoDB
◾ AI: OpenAI, LangChain, vector search, evaluation pipelines

I focus on shipping systems that are production-ready from day one:
◾ Clear API design
◾ CI/CD and zero-downtime deployments
◾ Logging, monitoring, and observability
◾ Security checks early in development
◾ Performance budgets and regression prevention
◾ Clean documentation and maintainable codebases

What clients typically hire me for:
◾ AI chat and RAG systems with reliable retrieval
◾ SaaS platforms with auth, billing, and admin panels
◾ Legacy modernization and platform rewrites
◾ FastAPI backend architecture
◾ Tool-using AI agents and workflow automation
◾ AWS infrastructure and deployment pipelines

How I work:
◾ Quick discovery call to define scope and milestones
◾ Prototype or API specification within 24–48 hours
◾ Weekly demos with fast feedback cycles
◾ Clean Git workflows with PR-based collaboration
◾ Tests, documentation, and handover included

Clients value working with me because I combine startup speed with senior engineering discipline. I communicate clearly, keep delivery predictable, and build systems that teams can confidently scale after launch.

Availability:
◾ Can start within 1 week
◾ IST timezone with 4–6 hours overlap for US/EU teams
◾ Available hourly or milestone-based