Summary
Alexander Markov is a Deep Learning Engineer with 11 years of experience, currently applying advanced NLP and generative modeling at JPMorgan Chase after senior ML roles at Inworld AI and Tinkoff. Trained at MIPT and Yandex School of Data Analysis, he combines rigorous academic grounding with hands-on research into stability of neural ensembles and practical chatbot development. His background spans production-grade NLP, embedded software insights, and theoretical work such as using VAEs to analyze MISO precoding for 5G. Comfortable moving models from research to product, he has repeatedly bridged academia and industry in both startup and large-enterprise settings. Based in London, he brings a rare mix of signal-processing intuition and conversational AI expertise that informs robust, scalable ML systems.
11 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, 4.8/5, Master's degree, Computer Science, 4.8/5 at Moscow Institute of Physics and Technology (State University) (MIPT)
4.8/5, 4.8/5 at Yandex School of Data Analysis
Russian, English