🔸 100% Job Success | 9000+ Upwork Hours | 15+ Years Full Stack Development Experience
🔸 Built AI-powered products used by 100k+ users
🔸 Client startups raised $10M+ combined funding
🔸 Delivered 5+ Healthcare, 4+ AI SaaS, and 3+ Marketplace products (last 3 years)
My strength is combining AI engineering + product thinking + full-stack execution, which allows me to ship real production systems instead of experimental prototypes.
💡 What I build
• AI-powered SaaS platforms
• AI agents products (assistants, task automation, internal tools)
• Voice AI systems (call agents, conversational interfaces)
• MVPs for startups (fast, production-ready)
• Custom dashboards & internal platforms
I focus on building production-ready AI systems that align with real business outcomes like user adoption, automation efficiency and product scalability.
My strength is my combination of skills - Project Discovery ➕ Artificial Intelligence ➕ Web Dev ➕ Mobile Dev
🚀 AI Expertise
• AI Agents & Multi-agent systems
• RAG pipelines & retrieval systems
• Generative AI apps & copilots
• Voice AI & conversational systems
• Prompt engineering & AI architecture
🛠 AI Tools & Technologies
• LLM Frameworks: LangChain, LangGraph, CrewAI, AutoGen
• Models: OpenAI, Azure OpenAI, GPT-4o, Claude, Open-source LLMs
• Vector Databases: Qdrant, Pinecone, FAISS, pgvector, Weaviate
• AI Deployment: AWS, GCP, Azure, serverless AI pipelines
• Voice AI Stack: STT / TTS integrations, ElevenLabs (text-to-speech), Vapi (voice agent orchestration
• AI App Stack: Python, Node.js, FastAPI, scalable AI APIs, Vercel, Supabase / Firebase
🧠 Full-Stack Engineering
• Frontend: React.js, Next.js, Angular
• Backend: Node.js, Python, Django
• Mobile: Flutter, Native iOS/Android
• Database: PostgreSQL, MongoDB, Firebase
• Cloud: AWS, GCP, Azure
• Architecture: Scalable SaaS & AI-ready systems
💡 Industry Experience
✔️ Healthcare AI Platforms (EHR / AI assistants / patient systems)
✔️ EdTech AI & LMS Platforms
✔️ SaaS & Subscription Products
✔️ Marketplaces & On-Demand Apps
✔️ AI-enabled Internal Business Tools
Vaibhav S. earns an estimated $11k/mo. That's 7.6× the typical freelancer and more than 99.91% of everyone we track.
I usually start with a short discovery phase to align on AI feasibility, product scope and architecture.
This helps avoid over-engineering and ensures faster path to MVP and real user feedback.
If you’re looking for someone who can bridge AI technology and real product execution, let’s connect.
Keywords: AI Developer, AI Engineer, Full-Stack AI, LLM Developer, Generative AI, AI SaaS, MVP Development, Custom Software Development, AI Agents, Multi-Agent Systems, RAG (Retrieval-Augmented Generation), LLM Chatbots, AI Dashboard, AI CRM, AI Tools, AI Integration, Python (FastAPI), Node.js, React.js, Next.js, OpenAI, Claude, Gemini, LangChain, Vector Databases, Pinecone, API Integration, SaaS Platforms