I will build scalable deploy ready ai saas and ai agents


About this gig
Build Your Custom AI SaaS, AI Agent, or Full-Stack AI Web Application
Need a production-ready AI application, AI SaaS platform, AI agent, RAG system, or LLM-powered web app?
Im an AI Engineer specializing in building scalable AI applications from concept to deployment using modern AI and web technologies.
What I Can Build
- AI SaaS Platforms & Web Applications
- AI Agents & Multi-Agent Systems
- RAG Applications & Knowledge Bases
- AI Chatbots & Virtual Assistants
- OpenAI, Claude & Gemini Integrations
- FastAPI Backends & REST APIs
- React / Next.js Frontends
- Authentication & User Management
- Vector Database Integration
- Third-Party API Integrations
- Docker & Cloud Deployment
Tech Stack
Python FastAPI LangChain OpenAI Anthropic Claude Google Gemini React Next.js PostgreSQL MongoDB Vector Databases Docker AWS / GCP
Why Work With Me?
- Clean, scalable, maintainable code
- Production-focused architecture
- Secure API and backend development
- Clear communication throughout the project
- End-to-end development from idea MVP deployment
- Long-term development support available
Have an AI project in mind? Contact me before placing an order so we can discuss your requirements, scope, and the best technical approach.
Get to know Shankar K
Full Stack AI Engineer Quantum Computing QML AI ML LLMs RAG
- FromIndia
- Member sinceJun 2026
- Avg. response time1 hour
Languages
English, Hindi, German, French, Spanish, Japanese, Dutch, Italian, Arabic, Chinese, Korean
My Portfolio
FAQ
FAQ 1 Q: What information do you need to start?
I need your project requirements, preferred AI model or APIs, existing code/repository if available, and deployment preferences. If you are starting from scratch, I can help define the architecture and technical requirements.
FAQ 2 Q: Can you build custom AI agents and RAG systems?
Yes. I can build custom AI agents, RAG pipelines, tool-using agents, document-based assistants, API-integrated workflows, and LLM-powered web applications tailored to your use case.
FAQ 3 Q: Do you provide source code?
Yes. Source code is included according to the selected package. I can provide clean, structured, and maintainable code with appropriate configuration and setup instructions.
FAQ 4 Q: Can you deploy the application?
Yes. I can help deploy your AI application using Docker and common cloud/server environments. Deployment requirements and infrastructure complexity can be discussed before starting.
FAQ 5 Q: Which AI models do you support?
I can integrate suitable LLM APIs and open-source models depending on your requirements, including OpenAI-compatible models, Anthropic, Google Gemini, and other API-based or self-hosted models.
FAQ 6 Q: How do you handle security and sensitive data?
I follow practical security practices such as environment variables for secrets, API-key protection, input validation, authentication where required, controlled access to application resources, and secure handling of sensitive data. Security requirements can be discussed based on your application.
FAQ 7 Q:Can the AI application scale as usage grows?
Yes. I can design the application with scalable APIs, Docker-based deployment, modular architecture, caching where appropriate, database/vector-store optimization, and separation of frontend, backend, AI, and data components to support future growth.

