Babalola Opeyemi
|
Software Engineer. Building scalable systems, AI/ML infrastructure, and cloud-native solutions. Leading teams, mentoring engineers, and architecting high-performance systems.
about
Education
EdgeHill University, UK
Master's Degree in Computing (2024)
University of Ilorin, Nigeria
Bachelor's Degree (2016)
Quick Stats
interests
Cooking
love experimenting with flavors
Anime
avid watcher
Epic Fantasy
favorites: Wheel of Time, The Demon Cycle, The Name of the Wind, Before They Are Hanged
Music
piano & guitar. used to be a music director directing a choir of over 300 choristers
Audiophile
enjoys listening to music
experience
where i've worked and what i've built
Software Engineer
HeySavi LTD
Key Achievements
- ▶Designed organization-wide AWS IAM access management using Infrastructure as Code (Terraform), automating role-based permissions across environments and reducing manual configuration overhead by 80%
- ▶Architected LLM-powered chat backend service integrating AWS SageMaker, AI agents, and external providers, enabling real-time conversational AI with sub-200ms response times
- ▶Built reusable Terraform modules for provisioning AWS resources (Lambda, ECS, S3, IAM, SQS, SNS, EventBridge), standardizing infrastructure deployment and reducing setup time by 60%
- ▶Developed event-driven data ingestion and processing pipelines using Lambda, S3, SQS, SNS, and Step Functions, processing millions of events daily with 99.9% reliability
- ▶Integrated AI/ML inference pipelines, RAG systems, and agents via REST and WebSocket APIs, enabling real-time image analysis, semantic search, and intelligent recommendations
- ▶Provisioned analytics and data lake streaming pipelines with S3 event triggers, Redshift integration, and CloudWatch monitoring, automating data governance and warehouse operations
Technologies
Projects Built
ML Inference Pipeline
Real-time AI/ML Processing
Built scalable ML inference infrastructure for real-time image analysis and recommendations.
LLM Chat Service
Conversational AI Backend
Real-time chat backend with AI agents and RAG for intelligent customer support.
projects
building tools that solve real problems
ml-pipeline-kit
MLOps Pipeline Templates
Reusable Terraform and Python templates for ML training and inference pipelines.