Open to opportunities

Ramtin Yazdanian

@ramtinyazdanian

Director-level AI engineer and data scientist, building scalable ML pipelines, APIs, and RAG systems with actionable insights.

Malaysia

Message

What I'm looking for

I’m looking for my next career opportunity where I can lead and build production-ready AI systems—APIs, ETLs, end-to-end ML pipelines, and RAG—turning complex data into actionable insights for stakeholders.

I’m an AI engineer and data scientist with a PhD in Data Science from EPFL, and 3+ years of work at an innovative EPFL research and development center. I design robust APIs, ETLs, end-to-end ML pipelines, and RAG systems that turn data into decisions for managers and stakeholders.

As Director, AI and Development at APEX Engineering, I lead the development of a multi-agent environmental chatbot—redesigning the backend for more efficient use of Google Cloud Services and enabling faster feature expansion. I’ve delivered successful demos that helped the company secure its first client, with additional opportunities in negotiations.

At EPFLGraph’s Center for Digital Education, I built a scalable FastAPI + Celery REST API for ML tasks (including video extraction, transcription, OCR, translation, and sentence embeddings), and reduced processing costs for 40,000+ videos using custom caching and rate-limiting components. I also developed hierarchical knowledge via graph spectral embeddings, delivered course-overlap insights with Tableau, and orchestrated multiple RAG ETLs using Apache Airflow.

Experience

Work history, roles, and key accomplishments

Current

Director, AI and Development

Current

APEX Engineering AI

Feb 2026 - Present (4 months)

Led development of a multi-agent chatbot for environmental engineers and water departments, enabling citation-backed question answering and automated environmental report generation. Redesigned the backend for greater efficiency with Google Cloud and delivered demos that helped the company secure its first client.

Multi Agent Systems Citation Based Question Answering Document Processing API Design Google Cloud Platform System Architecture

AI Engineer

Center for Digital Education @ EPFL

Feb 2022 - Dec 2025 (3 years 10 months)

Built scalable machine-learning services via a FastAPI + Celery REST API for video/audio extraction, transcription, image/PDF OCR, translation, and sentence embeddings. Implemented caching and security (including a MySQL caching backend and a FastAPI rate limiter) reducing processing costs for 40,000+ videos, and developed RAG ETLs orchestrated with Apache Airflow.

fastAPI Celery Python Apache Airflow Embeddings Flask Tableau