Machine Learning · AI Systems · Engineering Leadership
I’m Mitiku Yohannes, a machine learning engineer and team lead. My work spans document intelligence, retrieval, LLM systems, computer vision, evaluation, and the infrastructure needed to make models useful in the real world.
01 · About
I work at the intersection of machine learning research and software engineering. I enjoy problems where model quality is only one part of the challenge: data quality, evaluation, latency, observability, deployment, and maintainable system design matter just as much.
My background spans computer vision, NLP, language models, representation learning, model evaluation, and production ML. I also lead engineers and help turn ambiguous technical goals into measurable, reliable systems.
02 · Experience
A concise view of roles most relevant to AI/ML engineering.
Kera Health / Remote
Lead a small machine-learning engineering team and contribute across model development, deployment, system design, and technical decision-making.
LinkedIn · Dublin
Built and productionized machine-learning systems at scale, with end-to-end ownership across experimentation, evaluation, deployment, and production iteration.
iQuartic · iCog Labs · AIMS Senegal
Built medical NLP systems, worked on face analytics and robustness, and taught or mentored students across machine learning, computer vision, NLP, and reinforcement learning.
04 · Toolkit
PyTorch, Transformers, SentenceTransformers, multimodal models, embeddings, ranking, evaluation.
LLM integration, retrieval pipelines, document intelligence, computer vision, model serving.
Python, FastAPI, Docker, CI/CD, testing, cloud deployment, APIs, observability.
GCP / Vertex AI, Azure, containerized services, GPU workloads, production experimentation.
05 · Contact
I’m especially interested in technically ambitious ML/AI work with real ownership, strong engineering, and measurable impact.