Backend Engineer • AI Infrastructure • Developer Tools • Distributed Systems.

I enjoy designing production-grade backend systems that are reliable, observable, and built to scale. My work spans AI-powered applications, real-time data platforms, developer tooling, and distributed architectures, with a focus on solving engineering problems rather than simply shipping features.

I'm particularly interested in the infrastructure that powers modern AI systems—reliable APIs, asynchronous processing, event-driven architectures, retrieval systems, and developer experience.

I enjoy building software where reliability, performance, and maintainability matter.

Most of my recent work focuses on:

• 🤖 AI infrastructure and LLM-powered backend services
• ⚡ Event-driven and real-time systems
• 🏗️ Production REST APIs and backend architecture
• 🛠️ Developer tools and engineering automation
• 🗄️ Data-intensive applications and PostgreSQL
• ☁️ Cloud-native backend services

A real-time blockchain intelligence platform for monitoring whale wallet activity across the Solana ecosystem.

The platform combines event-driven ingestion, streaming APIs, WebSockets, and analytics dashboards to process high-volume on-chain activity in real time, providing institutional-style visibility into blockchain transactions.

Focus

• Event-driven architecture
• Real-time streaming
• WebSockets
• Distributed data processing
• Blockchain analytics

A full-stack analytics platform for monitoring distributed infrastructure performance, endpoint health, and historical network metrics.

Designed to collect, process, and visualize operational data while providing health scoring and monitoring capabilities for decentralized infrastructure.

Focus

• Backend APIs
• Infrastructure monitoring
• Data visualization
• Performance analytics
• System observability

An AI-powered backend platform for automated receipt auditing and financial compliance.

The system parses financial documents, retrieves organizational policies using Retrieval-Augmented Generation (RAG), applies LLM-based reasoning, and generates structured audit reports through a production REST API.

Focus

• AI pipelines
• RAG
• FastAPI
• PostgreSQL
• Document intelligence

An autonomous AI research system that gathers financial information from multiple sources, performs structured reasoning, and generates investment-ready research reports.

The project combines agent workflows, web search, structured retrieval, and LLM reasoning to automate financial analysis.

Focus

• AI Agents
• Tool calling
• Retrieval
• LLM orchestration
• Financial intelligence

A production-grade backend system for validating contributor submissions using automated rule engines and AI-assisted quality analysis.

The platform supports asynchronous processing, persistent audit trails, cloud object storage, and comprehensive automated testing.

Focus

• Async processing
• Background jobs
• AI validation
• Object storage
• Production testing

I'm especially interested in engineering problems involving:

• AI Infrastructure
• Distributed Systems
• Backend Architecture
• Developer Experience (DX)
• Event-Driven Systems
• API Design
• AI Agents
• Observability
• Performance Engineering

Python • TypeScript • JavaScript • Rust • SQL

FastAPI • Node.js • Express • REST APIs • WebSockets

PostgreSQL • MongoDB • Supabase • ChromaDB

LLM APIs • RAG • Vector Search • Agent Workflows • MCP

Docker • Git • GitHub • Railway • Vercel • Cloudflare R2

Currently exploring and building around:

• Production AI infrastructure
• Model Context Protocol (MCP)
• Distributed systems
• AI agent architectures
• Open-source developer tooling
• High-performance backend systems

I'm actively growing my open-source footprint by:

• Contributing to developer tools
• Participating in AI infrastructure projects
• Building public production-grade projects
• Improving documentation and developer experience

📧 Email: alaokeny05@gmail.com

💼 LinkedIn: linkedin.com/in/abdullateef-alao-89926b31b

🐦 X: @AlaoKeny

I'm always interested in collaborating on backend engineering, AI infrastructure, developer tooling, and open-source software.