Himanshu S.

Looking for a Generative AI Engineer 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 BUILD
RAG Systems & Retrieval-Augmented Generation Pipelines: 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 is where I do my best work.
AI Chatbot Development & AI Chatbot for Business: 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. My portfolio includes 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 Assistant Development: Human-sounding voice agents that answer calls, schedule meetings, and capture caller data, integrated with your CRM and calendar.

HOW I BUILD IT
My stack is chosen for speed, stability, and scale. FastAPI Backend Development gives you fast, well-documented APIs. Python powers the AI and data layers. React and Next.js handle clean, responsive front ends. For RAG and search, I use Vector Database Integration with Pinecone and Qdrant, plus LangChain Development to orchestrate models, memory, and tools.
Everything runs on cloud infrastructure built to grow: AWS (Bedrock, Lambda, EC2, S3, RDS), Azure (AI Services, OpenAI), and Google Cloud (Vertex AI). Containerized with Docker and Kubernetes, version-controlled, and deployed with monitoring so you see what your AI is doing and what it costs.

WHO BENEFITS
Founders who need an AI-Powered Application Development partner to turn a concept into a shippable product. Operations and support teams are drowning in repetitive work that AI Workflow Automation can absorb. SaaS companies are adding intelligent features that lift retention and pricing power. And teams that want a second opinion before they spend, which is where AI Consulting and Strategy comes in.