ML Engineering · AI Engineering · MLOps
Yohan Shanuka
ML Engineer · AI Engineer · MLOps
Designing production-grade data pipelines, ML training systems, and MLOps workflows that scale from prototype to millions of events per second.
Cust: 15682974 (Active) Balance: $48,250.00 Tenure: 18 months Credit: 620 | Products: 2 Churn Threat: Elevated
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AI Engineering Mindset
Engineeringsystemsthatthink.
I build production AI systems — from LLM-powered agents and RAG pipelines to fine-tuned models and multi-agent workflows — engineered to solve real-world problems at scale.
My focus spans ML engineering, AI agent design, and MLOps — shipping intelligent systems that are observable, reproducible, and ready for production from day one.
Engineering Focus
Core Expertise
Three focused areas — each with a clear pipeline and the capabilities I bring to production systems.
ML Engineer
Design, train, and serve production-grade ML models with low-latency inference APIs.
- CNNs, transformers & fine-tuning
- FastAPI model serving
- Feature stores & pipelines
- Model optimization & quantization
Key Performance Index
Inference
Tools & Frameworks
Technology Ecosystem
Machine Learning
Ecosystem FocusDeveloping and deploying deep learning, computer vision, and predictive models using modern frameworks.