Eduard – Python, Vue.js, Django

Real-time e-commerce price tracking platform

• Architected and implemented an end-to-end automated price monitoring system integrating multiple AI-driven data collection agents and automated decision workflows;
• Designed and built a scalable microservices architecture handling various data formats and sources, including web scraping, API integrations, and automated data validation;
• Implemented intelligent data processing pipelines using Python, integrating with Google Shopping API and custom scrapers to analyze market prices and supplier offerings;
• Developed automated notification systems and decision support mechanisms to track price changes and market dynamics in real time;
• Created an intuitive Vue front end with advanced filtering, data visualization, and automated reporting capabilities;
• Engineered robust backend services using FastAPI and PostgreSQL to handle complex data processing and automated workflows;
• Built sophisticated data validation and processing systems to handle multiple data sources and maintain data integrity;
• Implemented automated deployment pipelines and infrastructure management using Docker, GCP, and CI/CD workflows;
• Developed comprehensive testing strategies, including integration, unit, and end-to-end tests to ensure system reliability;
• Designed and implemented automated multi-source data collection systems with intelligent proxy rotation and error handling;
• Successfully managed the entire development lifecycle from architecture design to production deployment with minimal supervision.

Designed and implemented an app for language learners who wish to learn vocabulary and grammar like natives do.

• Developed and launched a fully automated, AI-powered language learning app with adaptive flashcards and personalized modules;
• Created a multi-agent AI workflow to analyze user progress and dynamically adjust flashcard difficulty levels for enhanced engagement;
• Built a scalable backend to manage diverse language content formats (CSV, SQL) and support real-time updates;
• Designed an intuitive user interface for efficient navigation, allowing users to track progress and access personalized resources;
• Implemented data-driven personalization to tailor vocabulary lists, flashcard suggestions, and practice sessions based on individual learning behaviors;
• Collaborated with AI engineers and language educators to optimize adaptive workflows and enhance content delivery;
• Deployed the app on a scalable cloud platform, ensuring stable performance and support for increased user traffic;
• Enhanced retention rates through a multi-level flashcard system that adapts to user proficiency and promotes progressive language development.

Interactive dashboard for personality data visualization and analysis

• Designed and implemented the product more than half of the year before the deadline by evaluating and elegantly aligning client's future and current product requirements;
• Designed frontend components with a focus on modularity (which, consequently allowed for other desired properties of software engineering);
• Designed and implemented the frontend interface with the user in mind to allow for quick and optimal evaluation of the generated results;
• Solved arising issues in a seamless and efficient manner, making technical trade-offs in such a way as to primarily benefit the client's business and workflow.

The app successfully utilizes GPT and prospect intel (from LinkedIn or .csv notes the user provides) to generate personalized subject lines and emails. It has an application beyond cold outreach, but the User Persona for this project is mostly email marketers who want to create a personalized email campaign - fast!

• Designed and implemented the product single-handedly;
• Devised an user interface and GPT prompt to extract maximum value for minimal effort for the client (and their users);
• Designed and implemented innovative features for personalized bulk email generation;
• Determined the User Persona together with the client;
• Evaluate the competitors, the tech stack, and the user flow of the current product;
• Wrote down improvements for the user flow;
• Prototyped the email-sending feature (Gmail API);
• Added the logic to send and track emails;
• Designed new UI and "user flow";
• Deployed the product and performed all of the necessary quality assurance.

Survival analysis tool

• Collaborated with the founder to gather requirements and provide regular progress updates on project milestones;
• Re-wrote the backend API to allow for further upgrades and performant execution;
• Implemented the GPT prompts used for the purpose of data classification;
• Optimized the GPT prompts to improve classification performance and efficiency;
• Resolved critical bugs and issues to ensure smooth and error-free operation of the application;
• Redesigned and implemented the data model;
• Optimized database queries and improved overall system performance;
• Added new features on both frontend and backend;
• Implemented automated integration tests;
• Designed and implemented cloud infrastructure;
• Employed continuous integration and continuous deployment (CI/CD) pipelines to automate the development and deployment workflow.

Rossum is a cloud Intelligent Document Processing (IDP) platform that helps companies of all sizes minimize the time they spend manually processing documents.

• Leveraged technical expertise to design and develop a new FastAPI email processing microservice, improving system efficiency and reliability;
• Provided ongoing maintenance and debugging support for existing Flask microservices to ensure optimal performance;
• Troubleshot and improved an internal migration application, streamlining the data transfer process;
• Successfully deployed service on Kubernetes cluster, ensuring seamless scalability and performance under heavy loads;
• Implemented a comprehensive integration test suite on GitLab CI/CD, ensuring robust and error-free deployments;
• Developed and updated unit tests to guarantee high-quality code throughout the development cycle;
• Utilized the ELK stack to identify and resolve complex bugs, improving overall system stability and performance.

The purpose of the app is to ease customer due diligence during the onboarding process for both companies and customers by keeping customer data collected in one place and shared across companies on a need-to-know basis.

• Collaborated with other developers to analyze requirements, design solutions, and develop new functionality;
• Developed the back-end of the web application, including designing a middleware layer to connect the front-end to the database SQL function interface;
• Added new API endpoints and updated existing ones to improve the application's functionality;
• Re-designed parts of the database schema and created database migrations to optimize data storage and access;
• Updated and debugged front-end features to ensure the smooth running of the user interface;
• Improved the development workflow by implementing an automated testing suite and standardizing seed data used for prototype deployments;
• Wrote a program to generate all necessary SQL interfaces from OpenAPI specs and generated test suites for all >150 API endpoints using Pytest, Pydantic, and Jinja templates to improve the development workflow and ticket reviews.

Platform for holding crowdfunding auctions.

• Supervised the creation and maintenance of new products, technical documentation, and workflows to ensure that they meet the client's business goals and technical requirements;
• Created quality mockups and prototypes to communicate design ideas and validate functionality with stakeholders;
• Improved usability of the platform to create an intuitive and engaging user experience;
• Built and maintained web applications to create scalable and maintainable solutions;
• Ensured that applications are secure and that they can interact with multiple APIs and databases to create a seamless user experience;
• Performed application performance tuning and optimization;
• Implemented CI/CD pipelines to automate the software development process;
• Designed user interactions on web pages;
• Ensured cross-platform optimization for mobile phones;
• Designed mobile-based features and ensured high-quality graphic standards and brand consistency;
• Integrated third-party payment providers.

Platform used to collect and display Business Intelligence data in an efficient manner to banks and financial regulators.

• Assisted in solution design to ensure that the product is aligned with the client's business goals and technical requirements;
• Developed solutions for users and customers, collecting feedback and iterating to improve the product;
• Built and maintained web microservices to create scalable and maintainable solutions;
• Redesigned parts of the database schema and created database migrations to optimize data storage and retrieval;
• Added new API endpoints and updated existing ones to enable new functionality and improve performance;
• Performed application performance tuning and optimization;
• Developed front-end website architecture and designed user interactions;
• Enhanced the UI while also developing and maintaining backend systems to ensure a seamless user experience;
• Contributed to architectural, deployment, and integration activities to ensure that the product is scalable and secure.

Business intelligence platform.

• Conducted market research and identified user needs for a business intelligence platform;
• Communicated with customers to understand their business intelligence needs and incorporate feedback into the product development process;
• Collaborated with stakeholders to define product features and prioritize the product backlog;
• Managed the product roadmap and release cycles;
• Conducted user testing and gathered feedback to improve the platform's user experience;
• Analyzed platform usage data to measure success and identify areas for improvement;
• Coordinated with development team to ensure features were built to specification and delivered on schedule;
• Worked with the sales team to develop go-to-market strategies and ensure the platform met customer needs;
• Built and maintained the backend and frontend of a business intelligence platform;
• Developed interactive visualizations and dashboards to enable users to explore and understand data insights;
• Conducted automated testing and continuous integration to ensure the platform was stable and reliable;
• Provided ongoing support and maintenance to ensure the platform's continued success.

A solution to find hot/warm/cold leads for the service company was selling.

• Took the project from concept to completion by identifying both business and technical requirements;
• Conducted discovery sessions with the product team to understand their needs and identify any technical debt or backlog that needs to be addressed;
• Initiated and led proofs-of-concept for relevant epics to validate the feasibility of the proposed solution;
• Led the design, development, testing, debugging, maintenance, and documentation of software components in accordance with SDLC best practices;
• Designed and created quality mockups and prototypes to provide a clear visual representation of the product's structure and organization;
• Developed interactive prototypes and other blueprints to demonstrate the product's features and functionalities;
• Created functional requirement documents and guides to ensure that the product meets the client's needs;
• Designed and implemented algorithms to extract business intelligence and analyzed the resulting data to assist clients in segmenting their market and making informed business decisions.