Summary
Arda Arslan is a Lead Machine Learning Engineer in Zurich with 9 years of experience building and deploying end-to-end ML pipelines. At Manukai AG, he designs, optimizes, and productionizes models using Python, TensorFlow, and Graph Neural Networks, tuning hyperparameters with Optuna and deploying on Azure, while automating analytics with Weights & Biases. He holds an MSc in Computer Science from ETH Zürich and dual BSc degrees from Koç University, complemented by research stints at ETH's Vision and Social Networks labs. Earlier, he built NLP tooling for Tarentum AI that significantly boosted search and Did you mean features for a Turkish e-commerce client and implemented ML deployments across AWS, MySQL, Redis, and Node.js. He has collaborated across academia and industry, including involvement with ETH Entrepreneur Club’s InCube Logistics. Fluent in translating state-of-the-art ML research into scalable, production-ready solutions, Arda stands out for turning complex models into measurable business impact.
9 years of coding experience
6 years of employment as a software developer
High School Diploma, Science, 97.99/100.0, High School Diploma, Science, 97.99/100.0 at İzmir Özel Türk Koleji
Computer Science, Computer Science at The University of British Columbia
Bachelor of Science - BS, Computer Engineering, 3.92/4.00, 100% Scholarship, Bachelor of Science - BS, Computer Engineering, 3.92/4.00, 100% Scholarship at Koç University
Master of Science - MS, Computer Science, 5.51/6.00, Master of Science - MS, Computer Science, 5.51/6.00 at ETH Zürich
English, Turkish