Thomas Oppelt

Background

About Thomas Oppelt

With over 20 years in software development, team leadership, and tech recruitment, I bring a unique mix of technical and managerial expertise. As a, I've successfully led multinational teams and fostered international collaboration throughout my career: • AI Scientist/Engineer focused on LLM development, optimization, and domain adaptation • AI Expert specializing in graph modeling and advanced reasoning approaches • Python Developer implementing AI/ML solutions in research-driven environments • Technical Project/Product Manager guiding from conception to deployment, combining technical expertise with strategic product vision, stakeholder alignment, and agile team leadership & /: Since 2016, I have dedicated myself to ML/AI, completing Nanodegree programs in Machine Learning Engineering (2019) and Deep Reinforcement Learning (2023). My expertise spans Python-based framework development with scalable message-driven architectures (asyncio, FastAPI, RabbitMQ), Multi-Agent RL (MAPPO, MADDPG), and LLM optimization including fine-tuning techniques (SFT, QLoRA, DPO, GRPO.) using tools/packages like Unsloth, vLLM and Hugging Face transformers+trl. I implement advanced hybrid RAG approaches incl vector and graph databases (Milvus, Neo4j) and deploy solutions across cloud platforms (AWS, Azure, GCP). A key milestone is TORQA, my custom Python framework for Deep RL experiments in algorithmic trading: • /: Hands-on experience developing, fine-tuning, and deploying robust AI solutions incl. MLOps (AWS Sagemaker/Lambda/ECS) • : Creating complex frameworks and applications with clean code principles • : Designing scalable, message-driven, asynchronous systems • : Managing diverse teams of 10+ nationalities in collaborative environments • : Strategically sourcing and integrating talent, with a focus on global team building At DEPT®, I served as Head of Development (Backend) and Head of Tech Sourcing & Talents, establishing technical standards, professional development processes, and recruitment pipelines. I bring a structured approach to solving complex technical challenges and a passion for applying AI to advance research and innovation.