I will build a robust, durable, and secure ai agentic platform and service for you

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Muhammad B

About this gig

I build AI agents that actually work in production, not demos. At IBM, I have shipped multi-agent platforms for enterprise clients across finance, manufacturing, healthcare, and telecommunications. I know how to take an ambiguous business problem, design the right agent architecture, and deliver something reliable, observable, and cost-efficient.


What I build:

- Multi-agent systems with LangGraph, A2A protocol, and custom orchestration (deterministic, LLM-router, hybrid)

- RAG pipelines on AWS Bedrock, GCP Vertex AI, or OpenAI with vector search and retrieval optimization

- AI agents connected to databases, APIs, Slack, email, calendar, SAP, ServiceNow, and more

- Agentic browser automation (CDP, MCP, Browser-Use) for web workflows and scraping

- Text-to-SQL agents for querying your databases in plain English (93% accuracy on production railway data)

- Safety stacks: jailbreak detection, PII redaction, LLM judge evaluation

- Full observability with OpenTelemetry and Phoenix tracing

- MCP servers for connecting AI to your internal tools


Stack: Python, LangGraph, AWS Bedrock, GCP Vertex AI, OpenAI, Anthropic Claude, FastAPI, React, Next.js, Docker, Terraform

Get to know Muhammad B

Muhammad B

AI Machine Learning Engineer

  • FromCanada
  • Member sinceJul 2026
  • Languages

    English, Indonesian, French
I am a results-driven machine learning and data science professional with a proven track record of architecting scalable AI solutions at IBM and Sanofi. I possess deep expertise in Python, SQL, and modern frameworks like PyTorch and LangChain. I excel at transforming raw data into actionable insights and automating end-to-end pipelines to enhance model performance.