Hi, I'm Ayobami Bamigboye.
Machine Learning Engineer. Currently pursuing M.Eng. at UC Berkeley. Previously Senior Software Infrastructure Engineer at 2K Games. I build systems that scale, from ML pipelines to cloud infrastructure serving 1M+ concurrent users.
ML & Research
DIC Strain-Map De-noising Pipeline
Kang Research Group, UC Berkeley. End-to-end artifact detection, Sobel/Canny edge localization, interpolation correction. >70% reduction in periodic artifact noise.
ML Data-Processing Framework
Modular, pluggable framework spanning Google Drive/Sheets and local files for ML dataset prep, augmentation, compression, and analysis.
Projects
Somo: VR Hand Tracking
Real-time VR interaction system using MediaPipe-based hand tracking. Controller-free interaction with <50ms latency. Gesture recognition with 31 engineered features across 5 core gestures.
Ouroboros: Feed Recommendation Pipeline
Personalized feed recommendation using hybrid scoring: TF-IDF semantic relevance, engagement signals, time-decay recency, tag overlap, and social-graph proximity. Served via FastAPI.
Infrastructure & Backend
Custom Terraform Providers
Built in Golang at 2K Games. Enabled 80% of internal infrastructure to be provisioned via Terraform. Standardized deployments across 10+ teams.
Infrastructure Scaling: 250K to 1M+ Players
Distributed locking sidecars, isolated cluster orchestration, heuristic-based load balancing. 40% latency reduction with cross-region failover.
PCI-DSS Compliance Platform
Led 3-person team at Dot Financial. Terraform, AWS IAM, Vault, CIS benchmarks. Completed in under 90 days, enabling early certification.
Experience
Senior Software Infrastructure Engineer
2K Games, Porto, Portugal | Dec 2022 – Aug 2025
Cross-team infrastructure scaling, custom Terraform providers, mentoring engineers across infrastructure and backend teams.
Software Engineer
Dot Financial Technologies, Netherlands | Feb 2022 – Dec 2022
PCI-DSS compliance, observability stack deployment (ELK, Prometheus, Grafana), digital banking infrastructure.
Software Engineer, Machine Learning
Kang Research Group, UC Berkeley | Aug 2025 – Present
DIC strain-map de-noising pipeline, modular data-processing framework for ML workflows.
Education & Certifications
University of California, Berkeley
M.Eng., Materials Science & Engineering (Computation Track) | 2025 – 2026
University of Lagos, Nigeria
BSc Biochemistry | 2016 – 2020
Certifications
Certified Kubernetes Architect (CKA) • Machine Learning Operations Specialization
Skills
- Languages & Platforms: Go, Rust, Python, PostgreSQL, JavaScript, Kubernetes, Node.js, Bash, Git, Jenkins, AWS, GCP, CI/CD Tooling
- ML & AI: Deep Learning, Computer Vision, Classical Machine Learning, Distributed Systems, API Design, Data Structures & Algorithms