Senior AI Developer and Principal DevOps Architect with 14+ years of experience building production-grade, self-healing AI and cloud infrastructure. I design AI-powered automation platforms that improve reliability, reduce costs, and accelerate engineering delivery at global scale. I specialize in AI agent development, MLOps pipelines, RAG systems, and zero-trust observability for Kubernetes and cloud-native environments. I love turning complex operational data into predictive systems that prevent failures, optimize performance, and improve MTTR while maintaining security and uptime.…

Oladotun Ezekiel Alabi

Senior AI Developer and Principal DevOps Architect with 14+ years of experience building production-grade, self-healing AI and cloud infrastructure. I design AI-powered automation platforms that improve reliability, reduce costs, and accelerate engineering delivery at global scale. I specialize in AI agent development, MLOps pipelines, RAG systems, and zero-trust observability for Kubernetes and cloud-native environments. I love turning complex operational data into predictive systems that prevent failures, optimize performance, and improve MTTR while maintaining security and uptime.…

Available to hire

Senior AI Developer and Principal DevOps Architect with 14+ years of experience building production-grade, self-healing AI and cloud infrastructure. I design AI-powered automation platforms that improve reliability, reduce costs, and accelerate engineering delivery at global scale.

I specialize in AI agent development, MLOps pipelines, RAG systems, and zero-trust observability for Kubernetes and cloud-native environments. I love turning complex operational data into predictive systems that prevent failures, optimize performance, and improve MTTR while maintaining security and uptime.

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Work Experience

Senior AI Developer & Principal DevOps Architect at Google
January 1, 2023 - Present
Leading Google’s AI-infused DevOps transformation by architecting intelligent platforms with 99.99% uptime for millions of users daily. Built and deployed production AI agents for predictive autoscaling, anomaly detection, and AI-assisted CI/CD (code review, test generation, and rollback decisions). Implemented proprietary RAG systems for knowledge retrieval at high query volumes and delivered MLOps pipelines to accelerate model deployment. Developed AI observability across drift, bias, and performance for many ML models, with automated retraining workflows. Migrated internal systems to GitOps-driven Kubernetes using ArgoCD/Terraform to reduce deployment time significantly. Engineered cost optimization via dynamic spot and autoscaling, implemented zero-trust security with threat detection, and standardized observability with OpenTelemetry/Grafana to reduce MTTR.
Lead AI Engineer & DevOps Architect at Meta
March 1, 2020 - December 31, 2022
Architected AI-powered infrastructure for Instagram’s web platform serving 400M+ users globally. Delivered NLP-based anomaly detection with transformer models to reduce incident detection time, built AI-assisted code review to automate a large share of PR reviews, and created predictive analytics to forecast infrastructure needs. Implemented recommendation systems, MLOps pipelines with Kubeflow/Ray, and experimentation frameworks using Bayesian inference to increase throughput. Owned frontend and infrastructure improvements including React Server Components and AI-driven optimization. Built an internal DevOps platform with GitHub Actions and Kubernetes operators for high-frequency zero-downtime releases. Migrated legacy services to Docker/EKS, improved accessibility and performance, and implemented canary/progressive rollouts and self-healing infrastructure.
Senior AI & Cloud DevOps Engineer at Amazon Web Services (AWS)
June 1, 2017 - February 28, 2020
Designed AI-optimized CI/CD pipelines and intelligent infrastructure for AWS services, enabling high daily deployment volumes with automated security and self-healing capabilities. Built predictive scaling to reduce scaling latency and prevent capacity-related incidents, and implemented anomaly detection pipelines and AI-assisted log analysis to speed root-cause identification. Developed automated remediation using reinforcement learning and resource optimization using genetic algorithms. Added AI-assisted documentation generation and integrated automated SAST/DAST scanning into CI/CD. Built observability (metrics/trace stack) to improve incident detection and recovery, and implemented automated multi-region disaster recovery with failover. Integrated AI security scanning tools to maintain vulnerability-free CI/CD workflows.
Software Engineer (Frontend + Infrastructure) at Microsoft Corporation
August 1, 2013 - May 31, 2017
Contributed to Microsoft 365 web applications and modernized Outlook Web experiences. Helped transition components from Angular to React, introduced early CI/CD practices with Jenkins and Docker to reduce deployment errors, and delivered real-time collaboration UI components aligned with Teams growth. Improved frontend performance metrics, built reusable internal UI/component libraries adopted by multiple product teams, and implemented performance monitoring with Application Insights. Standardized build processes to reduce build times and introduced automated testing with Jest/Enzyme to raise test coverage substantially. Mentored junior engineers through internal rotation programs.

Education

Ph.D. in Computer Science (AI/ML Track) at University of California, Berkeley
January 1, 2025 - July 22, 2026
M.S. in Artificial Intelligence at Stanford University
January 1, 2012 - December 31, 2014
B.S. in Computer Science (Honors) at University of California, Berkeley
January 1, 2008 - December 31, 2012

Qualifications

AWS Certified Machine Learning – Specialty
January 1, 2025 - July 22, 2026
Google Professional ML Engineer
January 1, 2025 - July 22, 2026
Azure AI Engineer Associate
January 1, 2024 - July 22, 2026
Deep Learning Specialization
January 1, 2024 - July 22, 2026
AWS Certified DevOps Engineer – Professional
January 1, 2025 - July 22, 2026
Certified Kubernetes Administrator (CKA)
January 1, 2024 - July 22, 2026
Certified Kubernetes Security Specialist (CKS)
January 1, 2024 - July 22, 2026
HashiCorp Terraform Associate
January 1, 2023 - July 22, 2026
React Advanced Certification
January 1, 2022 - July 22, 2026
Certified Scrum Master (CSM)
January 1, 2021 - July 22, 2026
CISSP (Information Systems Security)
January 1, 2024 - July 22, 2026

Industry Experience

Software & Internet, Computers & Electronics, Professional Services
    AI Marketing Automation System

    An AI-powered marketing automation system that generates leads, nurtures prospects, and converts them into paying customers automatically. The system captures 5,000+ leads/month through social media scraping, website forms, and WhatsApp messages, then nurtures them through personalized drip campaigns (email + WhatsApp) with usage-based conversion triggers at 70%, 90%, and 100% thresholds. The system auto-applies discounts, processes payments via Kora Pay, and generates real-time revenue reports.
    🏆 Accomplishments & Responsibilities

    Designed and implemented automated lead generation across 10+ platforms (social media scraping, web forms, WhatsApp)

Built AI-powered lead scoring system (0-100 score based on email, phone, company, industry, budget, timeline)

Created 7-day drip campaigns with personalized email and WhatsApp sequences

Implemented usage-based conversion triggers (70%, 90%, 100%) with auto-discounts

Integrated Kora Pay for payment processing and auto-renewal

Built real-time revenue analytics dashboard with daily, weekly, monthly, and yearly reporting

Achieved 25% conversion rate with ₦451.7M monthly revenue

    🛠️ Tech Stack
    text

    ├── Frontend: React/Next.js, Tailwind CSS, Recharts
    ├── Backend: Node.js/Express, PostgreSQL, Redis, Bull (Queue)
    ├── AI Integration: FreeLLMAPI (161+ models), MiMo-V2.5
    ├── Communication: OpenWA (WhatsApp), SendGrid (Email)
    ├── Payment: Kora Pay
    └── Analytics: Mixpanel, Google Analytics, Custom BI

    Dutchkem Ventures Prosuite NG+

    Dutchkem Ventures Prosuite NG+ is a comprehensive AI business automation platform serving 1.5M+ clients across Africa with ₦23.6B in monthly revenue. The platform features 15 specialized AI agents (A1-A15) that handle everything from academic writing and business planning to video production and event management. It orchestrates 9 AI providers with 185+ models through intelligent routing, automatic failover, and real-time optimization.

    🛠️ Tech Stack
    text

    ├── Frontend: React 18 / Next.js 15, Tailwind CSS, Redux Toolkit, Zustand
    ├── Backend: Node.js 22.12.0, Express.js, PostgreSQL 16, Redis, Prisma
    ├── AI Integration: FreeLLMAPI (161+ models), Tencent Hy3, Cerebras, Mistral, GROQ,
    │ OpenRouter, NVIDIA, AI/ML API, MiMo-V2.5
    ├── Real-time: WebSockets (Socket.io)
    ├── Infrastructure: Docker, Kubernetes, Vercel (Frontend), VPS (Backend)
    ├── Monitoring: Prometheus, Grafana, ELK Stack
    ├── Payment: Kora Pay
    ├── Communication: OpenWA (WhatsApp), Twilio (SMS), SendGrid (Email)
    ├── Social Media: OmniSocials, Agent Reach, omniOsocial
    ├── Video Production: OpenMontage, Pexels, Pixabay, Unsplash, ElevenLabs
    └── DevOps: GitHub Actions, CI/CD, Terraform, Nginx