Himanshu S.

AI Developer specializing in RAG systems, AI agents, and custom AI SaaS platforms. IIT graduate. $100K+ earned on Upwork. Top Rated Plus.

Looking for an AI developer who ships working products, not science experiments? You found the right profile.

I build production-grade AI systems that solve real business problems: RAG systems that answer questions from your own data, AI chatbots that handle support and sales around the clock, and custom AI SaaS platforms your users actually pay for. Every build goes from idea to deployed, monitored, and revenue-generating.

👉 WHAT I'VE SHIPPED

• AI-powered voice interviewing and recruitment platform - built end-to-end, $31K engagement
• Generative AI chatbot for client status updates - 1,000+ hours of ongoing development
• RAG document extraction engine for a data-heavy client workflow
• AI platform for visual business case proposals

👉 WHAT I BUILD

RAG Systems & Retrieval-Augmented Generation: Connect large language models to your documents, databases, and knowledge bases so answers stay accurate, current, and grounded in your data. This is where most AI projects fall apart. It's where I do my best work.

AI Agents & AI Chatbot Development: Conversational assistants that book appointments, qualify leads, answer FAQs, and route customers - trained on your content and connected to your tools.

Custom AI SaaS Platform Development: Full products from database to dashboard, including a B2B voice-assistant platform and an AI-driven PR platform, both built end-to-end.

LLM Integration: OpenAI, Anthropic Claude, and open-source models wired into your existing software through clean APIs, with cost and latency kept in check.

AI Workflow Automation: Repetitive manual processes turned into reliable automated pipelines that free your team for higher-value work.

AI Voice Agent Development: Human-sounding voice agents that answer calls, schedule meetings, and capture caller data, integrated with your CRM and calendar.

👉 MY STACK

Python and FastAPI for the AI and API layers. React and Next.js for clean, responsive front ends. LangChain for orchestrating models, memory, and tools. Pinecone and Qdrant for vector search and RAG. Deployed on AWS (Bedrock, Lambda, EC2, S3, RDS), Azure AI Services, or Google Vertex AI - containerized with Docker and Kubernetes, version-controlled, and monitored so you can see what your AI is doing and what it costs.