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andy_ami

Ahmed I

@andy_ami

Agentic AI Developer, Full Stack Developer, Ai Engineer

Pakistan
English, Urdu, Punjabi
About me
I am an experienced Agentic AI Developer and Full Stack Developer with a strong passion for building smart, scalable, and high-performance applications. I build advanced multi-agent systems like PadelGPT using LangGraph to streamline club operations, bookings, and payments. I also work extensively with Python Flask, database management, and automation tools like n8n to connect intelligent LLMs with real-world databases and external APIs. Whether you need a custom website, a smart chatbot, or a full-stack web application integrated with AI, I am here to bring your vision to life.... Read more

Skills

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andy_ami
Ahmed I
Offline • 
Average response time: 1 hour

See my services

Custom Websites
I will create interesting online gaming website
From$200 / projectMore details
AI Implementation & Deployment
I will create a multi agent workflow for your business
From$80 / projectMore details

Portfolio

Work experience

PadelOS

Associate AI Engineer

PadelOS • Full-time

Dec 2025 - Present • 9 mos

• Building and ship PadelGPT, a LangGraph-based multi-agent system embedded in PadelOS, automating club operations across memberships, bookings, pricing, and court management for live customers • Design and maintain a Model Context Protocol (MCP) server (streamable_http transport) connecting agents to Stripe, Google, and Twilio for payments, scheduling, and messaging workflows • Built a distributed observability stack with OpenTelemetry + Langfuse, unifying infrastructure-level tracing with LLM-specific events into a single trace view across the multi-agent system • Wrote custom tracing infrastructure (langfuse_config, traced_session, traced_api_client) that cut time-to-debug for production agent failures and enabled segment-level performance reporting • Evaluated observability frameworks (Langfuse, Opik, LangSmith) on OpenTelemetry support and self-host flexibility, documenting findings in an internal technical report adopted by the team

IR_Solutions

Junior AI Engineer

IR Solutions • Full-time

May 2025 - Dec 2025 • 7 mos

• Built production-ready Agentic AI systems using n8n, orchestrating multi-step workflows that automated repetitive operational tasks across the team • Designed and deployed a Retrieval-Augmented Generation (RAG) system integrating vector search and LLMs to answer queries over domain-specific documents • Engineered web scraping pipelines for large-scale data automation, feeding clean, structured data into downstream AI workflows • Delivered AI agents end-to-end (design → development → deployment) in a fast-paced production environment