Kiryl Khramiankou
Ai Product Engineer @Knowlestry
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WORK HISTORY
Ai Product Engineer @Knowlestry
Munich, DE
I translate product and operational requirements into production AI systems for industrial manufacturing. I design the platform’s core architecture and decide how key workflows function, then implement them end-to-end (full-stack). I build agentic systems and applied ML way beyond LLM APIs
EDUCATION
Hochschule München University of Applied Sciences
Master's degree, Entrepreneurship and Digital Transformation
Universität des Saarlandes
Master of Science - MS, Entrepreneurial Cybersecurity
Moscow Institute of Physics and Technology (State University) (MIPT)
Bachelor's degree, Applied Mathematics and Physics
ABOUT KIRYL KHRAMIANKOU
Greetings, my name is Kiryl, based in Germany, Munich. I have >3 years experience in Data Science (every reference ready upon request or written form). Agile backend & Generative AI integration specializing in LLMs. Experience in taking responsibility for product architecture, deployment, data pipeline optimization, and analytical insights. Bachelor of Science in Moscow - studied Applied Mathematics and Physics at MIPT (Moscow Institute of Physics and Technology).Started working in Data Science and Analytics during bachelors - worked in the largest fintech in Russia - T-Bank (formerly Tinkoff)- was tasked with developing an internal analytical tool.(worked with Python, SQL, Tableau, Cloud, GreenPlum, PostgreSQL, DataGrip, DBeaver, Excel) Then I got into Yandex - the most advanced IT company in the russian-speaking part of the globe (“Russian Google”). There I helped develop the analytics platform for the Delivery services.(worked with Python, SQL, data warehouses, Cloud, Classic ML, Django, Flask, ClickHouse, Excel and BI tools)Later joined an AI gaming platform startup as a Machine Learning Engineer (LLM/Text-to-Image Applications), located in London (remote), where I worked with cloud services, LLM inference pipelines, and backend integration to deploy and optimize AI-driven features for a unique gaming experience.(worked with Next.js, Node.js, Firebase, SQL, FastAPI, React (JavaScript), TypeScript, Diffusion Models, NLP, and Convex Optimization)Shortly after moving to Germany, I got the opportunity to work with researchers at CISPA Helmholtz Center on an internal tool leveraging LLMs. I contributed to the backend, -for efficient data processing and messaging. I also tested various open-source models, conducted extensive data research, and helped bring the product to launch.(worked with Weights & Biases, Docker, FastAPI, Redis, RabbitMQ, LangChain, PyTorch, Open-Source Models, In-house GPU)I later transitioned to my current studies at Hochschule München, pursuing a Master’s in Entrepreneurship and Digital Transformation.In my first week of my master\'s, I got the opportunity to join Suitable, a local startup working on LLM-powered job matching. Over the next few months, we restructured the product, conducted user testing, and implemented a complete end-to-end job seeker experience.(worked with Azure (App Serice, Function App, CosmosDB, SQL, and others), CI/CD automation, Flask, React, Svelte, SQL, Python, and Prompt Engineering.)
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