Prathamesh Phadtare

AI Engineer with 2+ years of hands-on experience building AI agents, chatbots and workflow automations that do real work for businesses: answering customers, moving data between tools and cutting manual steps. Builds LLM-powered agents and chatbots on GPT, Claude and Gemini with Python, LangChain and LangGraph; automates workflows in n8n and writes Python code (FastAPI) where no-code tools fall short; integrates business tools such as WhatsApp, Instagram and Google Sheets through their APIs. Writes prompts, tests them and measures how well they perform with LLM evaluation, and documents what gets built so clients can rely on it.

Comfortable reading API documentation and turning business needs into working automations.

AI/ML Engineer at Codify Software Services (AI startup) (2024-06 – Present)

• Omnichannel AI Customer Support Chatbot & Automations | Python, LLMs (GPT, Claude, Gemini), FastAPI, n8n, WhatsApp, Instagram, Google Sheets
• Built and deployed a production LLM-powered AI chatbot that answers customers 24/7 across Web, WhatsApp and Instagram, with contextual memory, tool calling and real-time voice and text support.
• Automated business workflows in n8n (lead capture, query routing, data sync), writing custom Python / FastAPI services where n8n nodes fell short.
• Integrated WhatsApp and Instagram messaging APIs and Google Sheets through their APIs to move customer data between tools and cut manual work.
• Wrote, tested and iterated prompts, measuring answer quality with LLM-as-judge evaluation and guardrails to keep replies accurate and on-brand.
• Agentic Finance Research Platform | Python, LangGraph, LangChain, RAG, GPT, Claude, Gemini
• Built a multi-agent AI system with LangGraph and LangChain where specialised AI agents collect data, analyse it, verify results and generate reports, across GPT, Claude and Gemini models.
• Grounded agent answers in source documents with retrieval-augmented generation (RAG), embeddings and vector databases to reduce hallucinations.
• Multi-Agent AI SDLC Platform | Python, LangGraph, MCP, Tool Calling, Human-in-the-Loop
• Built AI agents that automate the software development lifecycle (requirement analysis, planning, code generation, review and testing), connecting tools through function calling and MCP with human-in-the-loop checkpoints.
• Deployment & Documentation | Docker, GitHub Actions, AWS, GCP, LangSmith, Langfuse
• Containerized AI services with Docker and shipped them through GitHub Actions CI/CD to AWS and GCP, monitoring agent quality with LangSmith and Langfuse tracing.
• Documented agents, automations and integrations (setup, flows, prompts, failure handling) so clients and teammates could rely on and maintain them; translated business needs into automation designs.

Bachelor of Engineering in AI & Data Science (AI&DS) – Zeal College of Engineering and Research (2020-12 – 2024-06)