Pankaj K.

I build 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬 and 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 that connect 𝐋𝐋𝐌𝐬 with 𝐂𝐑𝐌𝐬, 𝐩𝐡𝐨𝐧𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐀𝐏𝐈𝐬, 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬, and 𝐢𝐧𝐭𝐞𝐫𝐧𝐚𝐥 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬. Using 𝐋𝐚𝐧𝐠𝐆𝐫𝐚𝐩𝐡, 𝐧𝟖𝐧, 𝐑𝐞𝐭𝐞𝐥𝐥 𝐀𝐈, 𝐅𝐚𝐬𝐭𝐀𝐏𝐈, 𝐎𝐩𝐞𝐧𝐀𝐈/𝐂𝐥𝐚𝐮𝐝𝐞, and 𝐏𝐨𝐬𝐭𝐠𝐫𝐞𝐒𝐐𝐋, I take AI workflows from 𝐩𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐞 to 𝐭𝐞𝐬𝐭𝐞𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭. 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐨𝐧 𝐔𝐩𝐰𝐨𝐫𝐤 | 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 | 𝟕𝟓 𝐣𝐨𝐛𝐬 | 𝟒,𝟕𝟎𝟎+ 𝐡𝐨𝐮𝐫𝐬. I work directly with clients from architecture through deployment , no agency handoffs. 𝐑𝐄𝐂𝐄𝐍𝐓 𝐏𝐑𝐎𝐃𝐔𝐂𝐓𝐈𝐎𝐍 𝐖𝐎𝐑𝐊 • Built and maintain 𝐀𝐈 𝐯𝐨𝐢𝐜𝐞 𝐚𝐧𝐝 𝐢𝐧𝐭𝐚𝐤𝐞 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 for a U.S. law firm using Retell AI, n8n, Twilio, Filevine, and scheduling workflows including call routing, reminders, follow-ups, transfers, and production troubleshooting. • Built 𝐯𝐨𝐢𝐜𝐞-𝐚𝐠𝐞𝐧𝐭 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 using n8n, GoHighLevel, Retell AI, ElevenLabs, and Twilio, supporting 𝟏,𝟎𝟎𝟎+ 𝐀𝐈 𝐜𝐚𝐥𝐥𝐬 𝐩𝐞𝐫 𝐦𝐨𝐧𝐭𝐡 with transcription, CRM updates, follow-ups, and workflow automation. • Built a 𝐦𝐮𝐥𝐭𝐢-𝐚𝐠𝐞𝐧𝐭 𝐀𝐈 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 with a supervisor agent, specialist agents, tool calling, guardrails, human-in-the-loop approval, FastAPI, PostgreSQL, and systematic LLM evaluation. 𝐀𝐈 𝐀𝐆𝐄𝐍𝐓𝐒 & 𝐑𝐀𝐆 • LangGraph-based AI agents and multi-agent workflows • Tool calling, routing, memory, state management, and human approval • RAG over documents, APIs, databases, and business knowledge • OpenAI and Claude integrations with Python/FastAPI • Embeddings, vector databases, retrieval, and knowledge assistants • Guardrails, structured outputs, retries, and production error handling 𝐀𝐈 𝐀𝐔𝐓𝐎𝐌𝐀𝐓𝐈𝐎𝐍 & 𝐕𝐎𝐈𝐂𝐄 𝐀𝐈 • n8n workflow development, debugging, audits, and self-hosted deployments • Retell AI, Twilio, and ElevenLabs voice-agent workflows • GoHighLevel and HubSpot CRM automation • Lead capture, qualification, follow-ups, appointment scheduling, and reminders • REST APIs, webhooks, and third-party integrations • Make and Zapier integrations when required 𝐋𝐋𝐌 𝐄𝐕𝐀𝐋𝐔𝐀𝐓𝐈𝐎𝐍 & 𝐑𝐄𝐋𝐈𝐀𝐁𝐈𝐋𝐈𝐓𝐘 • Golden datasets, scoring rubrics, and LLM-as-judge evaluation • Human evaluation and preference ranking • RAG evaluation for 𝐫𝐞𝐥𝐞𝐯𝐚𝐧𝐜𝐞, 𝐠𝐫𝐨𝐮𝐧𝐝𝐞𝐝𝐧𝐞𝐬𝐬, 𝐟𝐚𝐢𝐭𝐡𝐟𝐮𝐥𝐧𝐞𝐬𝐬, and citations • Guardrail testing for prompt injection, PII leakage, and unsafe tool use • Dataset curation, annotation QA, and edge-case testing • Model and prompt regression testing 𝐏𝐑𝐎𝐃𝐔𝐂𝐓𝐈𝐎𝐍 𝐄𝐍𝐆𝐈𝐍𝐄𝐄𝐑𝐈𝐍𝐆 • Python and FastAPI • PostgreSQL, Supabase, and Redis • Docker and Docker Compose • REST APIs and webhook architecture • CI/CD and VPS/cloud deployment • Monitoring, testing, debugging, and production support 𝐇𝐎𝐖 𝐈 𝐖𝐎𝐑𝐊 I work directly with your team through: 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬 → 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 → 𝐁𝐮𝐢𝐥𝐝 → 𝐄𝐯𝐚𝐥𝐮𝐚𝐭𝐞 → 𝐃𝐞𝐩𝐥𝐨𝐲 → 𝐌𝐨𝐧𝐢𝐭𝐨𝐫 You get practical architecture, clean implementation, testing against real scenarios, documentation, and production support. If you need an 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭, 𝐧𝟖𝐧 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧, 𝐯𝐨𝐢𝐜𝐞 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦, 𝐑𝐀𝐆 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧, or 𝐋𝐋𝐌 𝐞𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞, send me your current workflow, stack, and the problem you want to solve.