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yaqubadesola/README.md
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Building intelligent, production-ready software at the intersection of AI and enterprise engineering.

Portfolio LinkedIn GitHub Email Open to Work


About Me

Senior Software Engineer with 10+ years delivering scalable enterprise applications across fintech, banking, and cloud-native environments. I combine deep software engineering fundamentals with modern AI capabilities to ship systems that are intelligent, reliable, and production-ready β€” not just prototypes.

What I build:

  • AI-powered applications with LLMs, RAG pipelines, and agentic tool-use
  • Full-stack products serving real users at scale (React/Next.js + FastAPI/Spring Boot)
  • Serverless cloud infrastructure on AWS with Terraform and Docker
  • Internal tooling and workflow automation that cuts manual effort

Recent impact:

  • Contributed to the M36 Investment Platform at Union Bank of Nigeria, supporting 200%+ revenue growth through product feature delivery
  • Built and deployed a production AI Digital Twin hosted on AWS β€” live at yaqub.online
  • Developed agentic systems using LangGraph, Claude, and MCP that autonomously resolve engineering tasks end-to-end

Current Focus

Area Details
πŸ€– Agentic AI Multi-agent orchestration, autonomous workflows, LangGraph
🧠 RAG Systems Production retrieval pipelines, vector search, context-aware LLMs
πŸ”Œ MCP Integration Model Context Protocol tooling and server design
☁️ Cloud Engineering AWS Lambda, Terraform, serverless-first architecture
🌐 AI-Native Frontend Next.js applications wired to LLM backends

Tech Stack

AI / LLM Engineering

Python OpenAI LangChain LangGraph Claude Hugging Face MCP

Backend & APIs

FastAPI Java Spring Boot Node.js

Frontend Engineering

Next.js React TypeScript TailwindCSS

Cloud & DevOps

AWS Terraform Docker GitHub Actions


GitHub Stats


Featured Projects

πŸ”§ FixaHub β€” Autonomous Code Repair System

Business problem: Engineering teams waste hours triaging and patching recurring JS/TS bugs manually.

An autonomous multi-agent workflow that identifies, analyzes, fixes, verifies, and opens pull requests for JavaScript and TypeScript repositories β€” without human intervention.

  • Architecture: LangGraph agent loop β†’ Claude Opus reasoning β†’ GPT code synthesis β†’ automated PR creation
  • Deployment: FastAPI backend + Next.js dashboard + SSE streaming
  • Auth: Clerk-secured multi-tenant access

Stack: Python Β· FastAPI Β· LangGraph Β· Claude Opus Β· Next.js Β· Clerk Β· SSE

View Repo


🧠 AI Digital Twin β€” Live at yaqub.online

Business problem: Professionals can't personally respond to every recruiter or collaborator inquiry β€” a trained AI persona can.

A personalized AI assistant that reasons and responds as me, deployed on production AWS infrastructure with Terraform-managed serverless architecture.

  • Architecture: Next.js frontend β†’ AWS Lambda β†’ FastAPI β†’ LLM orchestration layer
  • Infrastructure: Fully IaC-managed with Terraform; zero-server deployment
  • Live demo: yaqub.online

Stack: Python Β· FastAPI Β· Next.js Β· AWS Lambda Β· Terraform

View Repo Live Demo


πŸ€– Meridian AI β€” Customer Support Chatbot (MCP)

Business problem: Customer support operations are bottlenecked by repetitive queries that don't need a human agent.

A production-grade AI support assistant with customer authentication, order lookup, product availability checks, and order placement β€” all driven by an agentic LLM tool-use loop over MCP.

  • Architecture: Gradio UI β†’ ChatEngine β†’ OpenRouter LLM β†’ MCP Tool Server (GCP)
  • Capabilities: Auth, order history, inventory checks, order placement
  • Deployment: HuggingFace Spaces + GCP MCP backend

Stack: Python Β· MCP Β· OpenRouter Β· Gradio Β· GCP

View Repo


🚨 Agent Incident Response β€” Autonomous Ops Workflow

Business problem: Incident resolution requires coordination across multiple systems under pressure β€” an agent can triage faster than any on-call engineer.

An AI-driven multi-agent system for automated incident analysis, response coordination, and operational recovery β€” reducing mean time to resolution.

Stack: Python Β· Multi-Agent Systems Β· LLMs

View Repo


🌾 Crisp Farm Apps β€” AgriTech SaaS Platform

Business problem: Agribusinesses lack affordable digital tools to manage farm operations, sales, and logistics.

Full-stack agricultural platform for operational management and digital workflows, built with enterprise-grade Spring Boot backend and Next.js frontend.

Stack: Java Β· Spring Boot Β· Next.js Β· TypeScript

View Repo


Open To

I'm actively looking for my next role. If you're hiring or know someone who is, let's talk.

  • Senior Software Engineer (AI applications focus)
  • AI Application Engineer / Forward-Deployed Engineer
  • Full-Stack Engineer (React/Next.js + Python/Java backend)
  • Platform / Cloud Engineer
  • Technical Consulting & Contract Work

πŸ“ Lagos, Nigeria Β· Open to remote and relocation


Let's Connect

Portfolio LinkedIn Email


10+ years building systems. Now building intelligent ones.

Pinned Loading

  1. llm_agents_alliance_game llm_agents_alliance_game Public

    Python

  2. llm_engineering llm_engineering Public

    Forked from ed-donner/llm_engineering

    Repo to accompany my mastering LLM engineering course

    Jupyter Notebook

  3. Microservices---Accounts-Loans-Cards. Microservices---Accounts-Loans-Cards. Public

    Java

  4. ai_customer_support_chatbot ai_customer_support_chatbot Public

    Andela assessment - Meridian customer's support chatbot

    Python

  5. my_digital_twin my_digital_twin Public

    Python

  6. switch_assessment switch_assessment Public

    JavaScript