Machine Learning Engineer

Ramiz
Cuthbert

I build and ship machine learning systems — from research prototype to production. Currently focused on [your current focus, e.g. large language models / computer vision / RL]. Previously at the University of Edinburgh.

GitHub LinkedIn Email CV

Experience

2023 — Present

Senior ML Engineer

Company Name · London, UK

Brief description of your role and key responsibilities. Focus on impact: what did you build, what did you improve, at what scale?

PyTorch Transformers Kubernetes Python

2021 — 2023

ML Engineer

Previous Company · Remote

What you built here. Highlight measurable outcomes where possible: latency improvements, model accuracy gains, team size, production traffic.

TensorFlow GCP MLflow

2022 — 2023

BSc Speech & Language Processing

University of Edinburgh · Distinction

Artificial Intelligence • Machine Learning • Deep Learning • LLMs • Completed modules in; Machine Learning, Natural Language Processing & Understanding, Speech Synthesis, Automatic Speech Recognition, Reinforcement Learning Dissertation: Improving efficiency of multimodal Transformers through Dynamic Token Pooling.

Machine Learning Statistics Algorithms

2019 — 2022

BA Linguistics

Lancaster University · 1st Class

• Computational Linguistics • Forensic Linguistics • Phonetics • Corpus Linguistics •

Machine Learning Statistics Algorithms

Publications

Research &
Writing

Your Paper Title Goes Here

Your Name, Co-Author · NeurIPS 2024 · arXiv:2401.00000

Read paper →

Another Paper or Preprint Title

Your Name et al. · ICML 2023 · arXiv:2301.00000

Read paper →

Skills & Tools

ML / AI

PyTorch JAX / Flax Transformers (HF) Scikit-learn ONNX / TensorRT

Engineering

Python C++ / CUDA Go SQL Bash / Linux

Infrastructure

Kubernetes Docker GCP / AWS MLflow / W&B Terraform

Research

Experiment design Paper writing Statistical analysis LaTeX

RamizCuthbert

Research &Writing