Andrei Li Email and Phone Number

Designed the architecture of an anti-fraud system considering the strategic interests of the bank in the long-term perspective. Participated in developing rules to detect fraudulent money operations. Modeled the system's interaction with the payment module. Implemented the program code within a short period. Organized the code structure considering European legislation. Developed and deployed an invoice recognition system from electronic documents. Modeled the architecture and components of the fraud prevention system according to the C4 methodology. Developed Onboarding and Transaction Monitoring modules. Conducted code reviews to ensure compliance with KYC and KYB standards of the payment system. Co-authored a visitor identification system with the department head using the latest browser fingerprinting technologies. Documented the code and described various use cases of the system for the bank’s business units. Designed the code deployment model on the server. Collaborated with colleagues to select internal system products, including API Gateway, Load Balancer, and Serverless. Built the system with a focus on performance metrics and convenience for related departments. Automated the code testing process. Developed a neural network to organize information from end users into a format accepted within the company. Optimized code for performance improvements using multithreading programming techniques. Developed a coding standard for anti-fraud modules. Programmed a driver for the Metabase analytics system in Clojure. Built Apache Beam modules for neural systems written in PyTorch and TensorFlow. Analyzed the use cases of Google Cloud Function and Google Cloud Run technologies. Implemented auxiliary projects on Google Cloud Platform. Deployed Jaeger to identify code bottlenecks. Used Sentry to monitor code execution accuracy.

.RL - reinforcementlearning.ru - Consulting company specializing in artificial intelligence technologies, focusing on tensor development, tensor databases, and neural network training methodologies.I conducted research on organizing multidimensional data, investigated the FAIR PyTorch library, documented code, and collaborated with the scientific community. I participated in scholarship projects and won three stages of the Facebook and Udacity contest. I worked on neural network privacy and security issues under a Facebook scholarship and conducted training sessions for students. Key research projects I implemented include:Carrot: A Tensorboard for PyTorch to visualize optimization parameters and gradients. Stack: PyTorch, Dash, MongoDB. GithubRabbit: A visual editor for neural networks. Stack: PyTorch, Kivy. GithubClean City "Saint Petersburg": Script to detect urban disorder (garbage, graffiti, barriers). GithubPPO Implementation: Reinforcement learning to train multiple agents. GithubDDPG and DQN Implementations: Reinforcement learning for agents and Pacman game. Github, Github, PacmanForecasting Company Capitalization: Based on RAS data. GithubFederated Learning: Using PySyft for pneumonia detection from X-rays. GithubAWS-based Text Sentiment Analysis: Using AWS Lambda, API Gateway, and SageMaker. GithubDCGANs: For generating faces from celebrity photos. Github

"Vkus Mody" - A retail chain specializing in clothing and accessories for men and women, with a workforce of 120 people. Managed a team of 20.Engaged in crisis management of the company's finances after a challenging hostile takeover attempt. Conducted financial analysis of the business. Developed Discounted Cash Flow (DCF) models. Calculated NPV and IRR. Negotiated with potential investors. Wrote a business plan for the company’s recovery from the crisis.

Group of companies "Veles Capital" - Provides brokerage services on the Russian stock market. The company employs 450 people, with 5 direct reports.Managed operations for consolidating stock packages of promising enterprises. Participated in negotiations with the directors of various companies within the company's interests. Developed business valuation algorithms. Devised portfolio management strategies for enterprises. Took part in the strategic planning of managed companies. Led the process of taking companies public. Implemented methods for increasing business value. Successfully brought 40 companies to the stock exchange. Executed deals using RTS Plaza and phone brokers. Key projects include Tver Excavator, Giprospetsgaz, Belorechenskoye, and Kovelmoloko. Analyzed international small-cap markets.

"Arsagera" - Manages investment funds in Russia. The company employs 60 people and uses a scientific approach to managing client funds.Engaged in operational trading. Conducted portfolio management operations within established methodologies. Negotiated with Russian and international investment banks regarding stock market deals.

UK PSB - A management company founded by Promyshlenno-Stroitelny Bank, now owned by "VTB". The company employs 250 people.In a short period, alongside colleagues, I propelled the company’s mutual investment funds to leading positions, significantly ahead of competitors. Organized an online evaluation system using the Quik trading terminal. Collaborated with the division Director in developing a strategy for working with financial instruments.

"O'Key" - A retail chain of food stores. The central office had 200 employees.Developed strategic documentation for the operation of key company divisions. Described processes across various departments. Created process flowcharts in IDEF0 and IDEF3 formats using BPWin. Analyzed bottlenecks in department operations. Calculated and optimized employee workflows.

Saint Petersburg Exchange - Operates in the commodity exchange market and develops futures and options contracts for financial market participants.Conducted an oil market analysis for the potential launch of futures contracts. Analyzed the press to identify potential markets for developing and launching commodity exchange products. Studied international experiences in the development of financial contracts.

"LABG" - Web studio.Handled business support in financial, legal, and technical areas. Hired employees and developed talent search methodologies. Conducted technical interviews. Attended conferences and gave presentations. Met with leaders of top companies in Saint Petersburg to discuss website development. Managed projects for product creation.

"MIC" - Youth organization and business incubator.Worked on business development in Saint Petersburg. Participated in activities of young companies. Conducted market research in Russia. Wrote business plans. Calculated the efficiency of investment projects. Developed a business map of the region.