ML Engineering · Data Engineering · MLOps
Yohan Shanuka
Machine Learning & Data Engineer
Designing production-grade data pipelines, ML training systems, and MLOps workflows that scale from prototype to millions of events per second.
Engineering Mindset
Building Scalable ML & Data Systems.
I focus on building intelligent systems at the intersection of machine learning and data engineering, designing high-throughput distributed pipelines and deploying production-ready models that solve complex real-world challenges.
My goal is to develop production-ready machine learning workflows supported by reliable data infrastructure, modern backend systems, and scalable cloud architectures.
Engineering Focus
Core Expertise
Three focused areas — each with a clear pipeline and the capabilities I bring to production systems.
ML Engineering
Train, evaluate, and serve models with low-latency APIs.
- CNN & transfer learning
- Model APIs & FastAPI
- Prediction systems
- Model optimization
Key Performance Index
Inference
Tools & Frameworks
Technology Ecosystem
Machine Learning
Ecosystem FocusDeveloping and deploying deep learning, computer vision, and predictive models using modern frameworks.