Aleksei Mikhalev - Резюме Python Developer | Machine Learning Engineer | Data Scientist

Nexus Frontier Tech (https://nexusfrontier.tech) Remote, UK Machine Learning Engineer Jan 2022 – Nov 2022 ● Developed and fine-tuned machine learning models, utilizing various technologies to increase the efficiency and accuracy of the company's products. ● Researched and tested Azure and AWS platforms and marketplaces, leading to a successful partnership with Microsoft to register Nexus as a partner and start selling applications on the Azure marketplace. ● Created a full-stack application for internal annotation of PDF files, reducing annotation costs by ~20% Innoscripta International (https://www.innoscripta.com/en) Saint-Petersburg, Russia Machine Learning Engineer Sep 2021 - Nov 2021 ● Performed text scraping from German websites, pre-processed data for machine learning models, and used auto-labeling techniques for training datasets, resulting in increased accuracy of entity extraction from email bodies from 72% to 92% ● Trained and evaluated various model architectures for named entity recognition (NER) tasks and deployed them by building Flask applications GXB Ventures (https://gxbventures.com) Remote, USA Data Scientist / Product Manager Jan 2021 - Aug 2021 ● Led a team of software developers to implement data analytics into a new collaboration platform, resulting in several functional features of the platform being upgraded by more than 200% raise in latency and more than 70% of existing bugs being fixed ● Transformed initial architecture of the product from monolith to microservices, resulting in increased scalability and maintainability of the product ● Created a dashboard with key analytical and performance indicators for web platform, leading to better decision-making and performance monitoring Freelance work Remote, USA/Russia Data Scientist / Python Developer Jan 2020 - Jan 2021 ● Analyzed clients' datasets and built models for customer classification, sentiment analysis, price prediction, etc., resulting in improved business outcomes ● Built several web applications using Django and machine learning libraries, including an API for a weather forecasting company, a Telegram bot with Yandex Geocoder for a bot-building company, a Facebook Messenger bot that helps to search and buy clothes for a startup, a landing page with embedded videos for a big company that produces and sales ionic substrates, and other projects Fellowship.ai (https://www.fellowship.ai) Remote, USA Data Science Fellow May 2020 - Aug 2020 ● Scraped and pre-processed datasets for various pre-trained neural networks, resulting in increasing accuracy and efficiency of the models ● Coordinated an international team of data scientists on a website optimization project that resulted in an PoC using Deep Contextual Bandits model, Django as backend, and Vue.js as frontend Successfully developed highly accurate machine learning models, including a fake document detection model that achieved a 97% accuracy rate for a rapidly growing startup, a wounds classification model that achieved a 95.4% accuracy rate for a major medical company, and a website optimization model for internal use at Fellowship.ai. PTW (https://www.ptw.com) London, UK QA Localization Tester Nov 2019 - Jan 2020 ● Tested 2 console games on pre-release stage regarding localization for the Russian market, ensuring high-quality user experience Internet-Initiatives Development Fund Venture Lawyer (IT startups) UCF Investment Company, Sole Legal Counsel Capital Legal Services LLC Corporate Lawyer (M&A) Cleary Gottlieb Steen and Hamilton Paralegal RAZGULAY Grain Company Part-time Legal Assistant Moscow, Russia Apr 2016 – Sep 2018 Moscow, Russia Mar 2015 – Apr 2016 Moscow, Russia Aug 2014 – Mar 2015 Moscow, Russia Feb 2011 – Mar 2014 Moscow, Russia Feb 2010 – Feb 2011

DeepLearning.AI Online Course Feb 2023 Calculus for Machine Learning and Data Science Grade Achieved: 96.23% Linear Algebra for Machine Learning and Data Science Online Course Feb 2023 Grade Achieved: 95.79% MITx Machine Learning with Python - From Linear Models to Deep Learning Online Course May 2021 Grade Achieved: Passed Birkbeck, University of London London, UK Oct 2018 – Dec 2019 Master of Science in Business Innovation Grade Achieved: 62.56/100 Major: Tech Innovations, AI Moscow State Law Academy named by O.E.Kutafin Moscow, Russia Sep 2007 – Jun 2012 Master of Science in Law Grade Achieved: 4.8/5.0 Major: Corporate Law, M&A and Capital Markets College of Voronezh State Technical University Voronezh, Russia Sep 2003 – Feb 2007 Engineer in Telecommunication Networks and Switching Systems Grade Achieved: 4.58/5.0 Major: Telecommunication Signals and Systems, Computer Science, Mathematics

Programming Languages: Python, SQL, JavaScript Machine Learning: Pytorch, TensorFlow, spaCy, TesseractOCR, NLP, Computer Vision Cloud Technologies: Azure, AWS SageMaker, S3 Web Frameworks: FastAPI, Flask, Django, DjangoREST, React.js, HTML, CSS Databases: SQLite, PostgreSQL, MySQL DevOps: Docker, Git Communication: Excellent oral and written communication skills in English and Russian, with experience presenting complex technical topics to both technical and non-technical audiences.

Английский

Self-learning, goal-oriented, very communicative. Hobbies: acoustic guitar player