I will build ai workflow automation, ai agents, voice agents, rag pipelines in python

I use LangGraph when your business logic demands strict state management, approval steps, and deterministic control loops, and AutoGen,OpenaAI Agents, Google ADK, Crew AI, Agno etc when you need dynamic multi-agent collaboration to solve complex research or data extraction tasks.

Using frameworks like Vapi, Retell AI, or LiveKit paired with Twilio, I connect real-time voice models directly to your backend APIs and CRM (such as HubSpot, Salesforce, or GoHighLevel). The voice agent can look up caller details, collect info during the call, and push updated records into database

Yes! Using Ollama for local open-source LLMs, PostgreSQL (pgvector) for vector search, and containerized Docker environments hosted on your AWS/GCP servers, we can build zero-data-leakage pipelines where sensitive company data never touches external APIs.

Absolutely. I build asynchronous Python bridges using FastAPI and webhooks that automatically trigger AI workflows upon new CRM leads, raw data uploads, or database updates, executing tasks and pushing structured data back into your CRM or Google Sheets.

Yes i offer full customer support even after delivery .

Yes, I build scripts that employ scikit-learn, tensorflow, nltk, scipy, pandas, and numpy to provide high-quality AI decision-making and prediction tools.

MCP provides an open, standardized architecture that lets AI agents securely inspect capabilities, access tools, and query data sources dynamically. It creates a robust interface between LLMs and enterprise infrastructure without rigid, single-use API scripts.