CV

Principal GenAI Architect

Alibaba Cloud Global

• Provide Generative AI solutions using foundation models (LLM, Stable Diffusion, etc.) for business use cases
• Responsible for Generative AI solutions outside of China, such as Qwen, Animate Anyone, and EMO
• Building and integrating information systems related to AI and Big Data to meet the company’s needs
• Resolving technical Generative AI and AI/ML/DL problems as they arise
• Providing supervision and guidance to development teams
• Continually researching current and emerging technologies in computer vision, NLP, etc., and proposing changes where needed
• Assessing the business impact that certain technical choices have
• Providing updates to stakeholders on product development processes, costs, and budgets

Lead Research Engineer

Midea HBT

• Languages — Tensorflow, Keras, Python, SPARQL, Cypher, RDF, Ontology
• Use data science methods to work with domain experts to develop and implement data-driven solutions
• Work mainly involves data-driven predictive control, predictive maintenance, fault diagnosis, behavior pattern analysis, etc.
• Carry out experimental design, data collection, data analysis, model building, model verification, model deployment, continuous iteration, and other aspects of work
• Complete the data modeling analysis report, and carry out technical precipitation
• Read relevant literature and keep up with the latest developments in data science and business
• Interview potential candidates for the data scientist team

Big Data & Data Scientist Manager

Ping An Hao Xue, under Ping An (平安) China

• Languages — Python, Tensorflow, Keras, R, RMarkdown, SQL, Spark and Hive
• NLP projects including text classification, sentiment analysis, and text summarization
• Implemented and retrained Mozilla DeepSpeech library for Automatic Speech Recognition
• Created and tested the Speech Accent Classification System for native and non-native speakers, with a rate of 99% in metric recall
• Conducted classification analyses of the customer life cycle stage to increase overall turnover
• With algorithmic, optimized ongoing ML/DL models and checked the performance of implemented models
• Established the Machine Learning model for refund customers and updated the refund model; decreased the overall refund rate to 27%

Automatic Driving Prospective Technology Engineer

Haima Automatic Investment Group Co. Ltd, R&D Center

• Languages — C/C++, Python and Bash
• Connected lidar and radar to decrease noises in raw data
• Designed a model car to check the capability of algorithms on ultrasonic sensors
• Optimized CANBus protocol to increase the efficiency of data transfer
• Optimized joint work and logic compatibility of equipments

PhD

Emperor Alexander I St. Petersburg State Transport University

Mathematical Modeling, Numerical Methods and Computer Programs

• Develop data transmission methods for evaluating the real speed of data link layer protocols, aimed at improving hardware and software components

Master of Science

Emperor Alexander I St. Petersburg State Transport University

Information Systems and Technologies

• Develop and optimize computer network systems

Bachelor of Computer Science

Emperor Alexander I St. Petersburg State Transport University

Information Systems and Technologies

• Develop and optimize computer network systems