Eduard Malokhvii

🎯 Contributed to the development of advanced data analysis and forecasting models (RFM, market basket analysis, marketing mix modeling, customer lifetime value, churn prediction), enhancing product analytical capabilities.

🎯 Designed and implemented AI-powered tools based on LLMs, integrating them with analytical and forecasting models and reports to transform data into natural language explanations, actionable insights, and decision-support recommendations, including AI-assisted comparison for trend and anomaly detection.

🎯 Built a configurable AI interface for system administrators, enabling customization and debugging of prompt logic and control over agent behavior, and integrated AI-generated insights into automated email reports.

🎯 Contributed to the development of an event-driven system for processing transactions and customer actions, enabling configurable workflows and rule-based automation (e.g., coupons, notifications).

🎯 Contributed to the development of a custom CRM system for managing offline store feedback, including statuses, prioritization, assignment, and processing tracking.

🎯 Improved data visualization and implemented frontend and backend components, including map-based visualizations, enhancing data interpretability and overall user experience.

🎯 Collaborated with customers to align solutions with business needs, participated in technical interviews, and mentored team members, contributing to team growth.

🛠️ Technologies & Environment: Python, Django, Django REST Framework, Flask, Celery, asyncio, asyncpg, pandas, PyMC, XGBoost, PostgreSQL, RabbitMQ, Redis, JavaScript, Bootstrap 4, CSS, ApexCharts.js, amCharts 5, leaflet.js, D3.js, LLMs, Docker, Linux, Git, GitHub, GitHub Actions.

🎯 Redesigned legacy product pages, improving user experience through user feedback analysis and client collaboration, resulting in increased engagement, retention, and revenue.

🎯 Contributed to the development of analytical models and a configurable analytics processing system, enabling parameterized model execution over custom datasets (e.g., transaction samples) with support for both on-demand and scheduled runs, powering data-driven features and business insights.

🎯 Implemented integrations with external advertising platforms (Google Ads, Facebook, TikTok, InforUMobile), collaborating with clients to define requirements, working with platform APIs, and building scalable solutions capable of handling high-load scenarios.

🎯 Designed and implemented core backend and frontend components, including a notification system and third-party integrations, improving system reliability and expanding product capabilities.

🎯 Collaborated closely with customers to align technical solutions with business needs and ensure successful delivery of product features.

🛠️ Technologies & Environment: Python, FastAPI, Django, Django REST Framework, Celery, asyncio, asyncpg, pandas, PostgreSQL, RabbitMQ, Redis, JavaScript, Bootstrap 4, CSS, ApexCharts.js, amCharts 4/5, leaflet.js, D3.js, Docker, Linux, Git, GitLab, GitLab CI.

🎯 Designed and developed web applications using serverless architecture, focusing on scalable and cost-efficient deployments.

🎯 Designed and implemented scalable web parsers and data extraction pipelines for reliable collection and processing of data from external sources.

🛠️ Technologies & Environment: Python, Selenium, Click, tqdm, gspread, plyer, multiprocessing, JavaScript, Babel, HTML5, Sass, Vue.js, Vuex, Nuxt.js, Vuetify, sal.js, ky, npm, husky, webpack, ESLint, PostCSS, PurgeCSS, LQIP, PWA, Netlify, Google Tag Manager, Google Analytics, Google Search Console, Git, GitHub, GitHub Actions.

🎯 Developed and maintained high-performance web scrapers and crawlers for financial platforms (investing.com, ishares.com, barchart.com, yahoo.com), ensuring reliable data extraction at scale.

🎯 Designed and implemented a fully automated system for generating chart screenshots used in financial reporting workflows.

🎯 Built a service for automated configuration, management, and orchestration of Tor proxies to support distributed and fault-tolerant scraping.

🎯 Improved performance, stability, and data quality across scraping pipelines through optimization and refactoring.

🎯 Resolved critical bugs and production issues, including high-priority incidents.

🛠️ Technologies & Environment: Python, PostgreSQL, Selenium, Flask, Swagger, REST, Docker, docker-compose, click, pandas, psycopg2, asyncio, asyncpg, beautifulsoup4, requests, lxml, multiprocessing, Linux, Git, GitLab.

🎯 Learned the foundations of development for Linux User Space.

🎯 Learned the foundations of development for Linux Kernel (Virtual file system, Programming interface, Resources, Modules, Dependencies, Loading/unloading, Diagnostics, Debugging, Character device driver, Device Tree, ACPI, Time Management, Memory Management, Interrupts Handling, Concurrency, and Synchronization).

🛠️ Technologies & Environment: C, C++, Make, GCC, Clang, Linux, Linux Kernel, ARM, HAL, STM32CubeIDE, STM32CubeMX, Raspberry Pi, Git.

🔗 See more: www.globallogic.com/ua/gl-basecamp/linux-kernel

🔗 See final project: github.com/malokhvii-eduard/lkmod-bme280

Doctor of Philosophy

Master's degree

Bachelor's degree

📢 A simple tool to get immediate notifications in Slack once your Ukrainian colleagues become unavailable due to an air raid or artillery shelling threats.

🛠️ Technologies & Environment: Python, Typer, pre-commit, sematic-release, Git, GitHub, GitHub Actions.

📮 A simple tool to send SMS messages over the carrier's network from an Android phone using the Android Debug Bridge.

🛠️ Technologies & Environment: Python, androidviewclient, click, tqdm, pre-commit, Git, GitHub.

🤖 An easy-to-use, powerful crawler for OLX, that allows collecting various non-sensitive data about ads on the site.

🛠️ Technologies & Environment: Python, Selenium, click, tqdm, inject, pre-commit, Git, GitHub.

💨 A collection of tiny and ultra-cheap web things for monitoring air quality. The devices measure: temperature, humidity, barometric pressure, the concentration of carbon dioxide, dew point. The devices easily integrate into the Web of Things ecosystem and can be used indoor or outdoor.

🛠️ Technologies & Environment: Markdown, C++, PlatformIO, Arduino, WebThings, npm, husky, clang-format, sematic-release, UART, I2C, SPI, BME280, MH-Z19, ESP8266, WeMos D1, Git, GitHub, GitHub Actions.

💧 Arduino library for Bosch Sensortec BME280 – combined temperature, pressure, humidity sensor. The library allows using the sensor over I2C or SPI on any board that supports Arduino.

🛠️ Technologies & Environment: C++, PlatformIO, Arduino, googletest, npm, husky, clang-format, sematic-release, I2C, SPI, BME280, Git, GitHub, GitHub Actions.

💥 Arduino library for Winsen MH-Z19 – infrared carbon dioxide sensor. The library allows using the sensor over hardware or software UART on any board that supports Arduino.

🛠️ Technologies & Environment: C++, PlatformIO, Arduino, googletest, npm, husky, clang-format, sematic-release, UART, MH-Z19, Git, GitHub, GitHub Actions.

🎨 A simple 3D editor, that allows wrapping a 3D model into a texture. As a texture, there could be used UV mappings, images, or figures.

🛠️ Technologies & Environment: JavaScript, Babel, HTML5, Sass, Vue.js, Vuex, Vuetify, WebGL, Three.js, IndexedDB, yarn, husky, webpack, ESLint, PostCSS, PurgeCSS, LQIP, PWA, Netlify, Blender, Git, GitHub, GitHub Actions.

💧 Kernel space driver for Bosch Sensortec BME280 – combined temperature, pressure, humidity sensor. The driver allows using the sensor over I2C bus on a single-board computer like Raspberry Pi, Orange Pi, Asus Tinker Board, etc.

🛠️ Technologies & Environment: C, Make, clang-format, pre-commit, Linux, Linux Kernel, BME280, Raspberry Pi, Asus Tinker Board, Git, GitHub.

🔗 See more: www.kpi.kharkov.ua/rus/2019/10/30/harkivski-politehniky-sribni-pryzery

🔗 See more: www.kpi.kharkov.ua/rus/2019/04/22/olimpiady-robotiv

🔗 See more: www.kpi.kharkov.ua/rus/2019/04/22/olimpiady-robotiv