Chaitanya P.

⭐ Top-Rated Plus | ✅ 100% Job Success | 10+ Years of Experience I build enterprise AI platforms, Agentic AI solutions and AI-powered SaaS products from AI architecture and LLM orchestration to full-stack product development and production deployment. I have 10+ years of experience, 18K+ Upwork hours, $200K+ earned, Top Rated Plus and 100% Job Success, I work with startups and enterprises building AI products that need to operate reliably with real business data and workflows. ⭐ Some of the past projects Enterprise Generative AI Platform - EvolveAI Labs Built a Generative AI SaaS platform for organizations to deploy and manage private LLMs and vector databases, enabling secure, on-premise AI applications while addressing enterprise data privacy and compliance. Enterprise Conversational AI - HappyDSP Built an LLM + RAG-based enterprise conversational platform that connects organizational knowledge bases and databases through an intelligent interface. The platform also provides AI-driven business insights, operational summaries, sentiment analysis, feedback management and usage analytics. AI-Powered ClimateTech Platform - ClimateDoor Developed an AI-enabled platform supporting capital matchmaking, partnership discovery, grant identification and market expansion insights for climate-focused companies. ⭐ Agentic AI & LLM Expertise • Agentic AI & AI Agents • LLM orchestration & AI workflows • RAG / Retrieval-Augmented Generation • Enterprise AI & private LLMs • AI assistants & conversational AI • Knowledge bases & document intelligence • Vector databases & semantic search • AI automation & decision support • AWS Bedrock • Claude / Anthropic, GPT / OpenAI, Llama, Gemini • MCP (Model Context Protocol) • LangChain & LlamaIndex • OpenSearch & embeddings ⭐ Full-Stack AI Product Engineering I can work across the complete product: AI Architecture → Data & RAG → Agents/LLMs → APIs → Web/SaaS → Database → AWS → Production Backend: Python, Django, Flask, Node.js Frontend: React.js, Next.js, Vue.js, Angular Databases: PostgreSQL, MongoDB, DynamoDB, RDS Cloud: AWS, AWS Bedrock, Azure OpenAI, Google Vertex AI Infrastructure: Docker, Kubernetes, GitHub, Bitbucket, CI/CD, Lambda, RDS, CloudWatch, ALB ⭐ Industry Experience Healthcare | Logistics | FinTech | ClimateTech | Automotive | EdTech | Real Estate | Retail | Enterprise SaaS | Sports If you're building an Agentic AI system, enterprise AI platform, AI SaaS product, RAG/LLM application or intelligent business workflow, I can help take it from architecture and MVP through production. Let's chat. Best Regards, Chaitanya