Summary
Aleksey Tikhonov is a Berlin-based Head of Research and Senior Staff Machine Learning Scientist specializing in generative AI, NLP, synthetic data and graph-based models. At Inworld AI he leads end-to-end GenAI efforts — from custom benchmark design and synthetic-data pipelines to DPO/RLHF-style training, automatic prompting, LLM evaluation and safety frameworks — while publishing scientific work. His background blends rigorous product analytics and engineering leadership from Yandex and earlier CTO/co‑founder experience, including building AB-testing infrastructure from scratch and a DLP‑style system that mapped information propagation in corporate communications. He maintains active academic collaborations (Max Planck, Utrecht, Lorraine, HSE) that reinforce a research-first approach to practical problems. That combination of production-focused metrication, safety-aware model training and cross-disciplinary research is a distinctive strength.
10 years of coding experience
11 years of employment as a software developer
Lomonosov Moscow State University
English, Russian, German