Screenshot of the warehouse management module
ERP system for a washing and repair depot
ERP system for managing a tank container cleaning and repair station, built on Symfony and deployed on Linux Ubuntu with MySQL for reliability and scalability. The solution includes an administrative panel and a client portal with 49 modules for managing clients, orders, finances, calendar, inventory, and reporting, with capabilities for automatic PDF invoice generation, notifications, and data export to accounting software for complete business process digitalization.
Homepage of the website, VIP announcements block
Announcement platform
A platform for posting announcements in the agricultural sector, connecting farmers, suppliers, and buyers to streamline the buying and selling of agricultural goods and services with increased market transparency and reduced search costs. The system includes an admin panel for moderating announcements, managing content, and analytics, as well as a seller's personal account with the ability to publish and manage announcements and transaction history.
Homepage of the website, VIP announcements block
CRM for financial consultants
A CRM system for a financial consulting company, developed as a custom solution instead of a SaaS product to automate document management and enhance client interaction through admin and client interfaces, with capabilities to manage assets, users, calendars, and dictionaries, generate PDF reports, and synchronize events with Outlook. The project is built on Symfony with PHP 8.3, deployed on Ubuntu 22.04 with a MySQL 8.0 database to ensure system reliability, security, and scalability.
Main Menu of the Project
Informational Website Aquamen
Informational website Aquamen for water well drilling services, built with a user‑friendly admin panel for managing users, content blocks, and a feedback module. It supports SEO features (automatic sitemap, no‑index/no‑follow) and sends notifications about new requests via a Telegram bot.
Home Page, Main Menu
Online Store
Online store for beauty professionals, developed on Symfony 6.4 and PHP 8.3, deployed on an Ubuntu 22.04 server with a MySQL 8.0 database. It features an intuitive client interface with a product catalog, shopping cart, and order checkout, along with a powerful admin panel for managing products, categories, brands, users, orders, and SEO optimization. The system supports data export and automatic generation of PDF invoices and reports.
Website Home Page, Users, Finance, Learning
CRM system for a foreign language school
CRM system for a foreign language school designed to efficiently manage student relationships: it enables storing and structuring personal data, course history, and communication records, while automating registration, payment, and class scheduling processes through three key modules — Users, Finance, and Learning.
Website Home Page, Users, Finance, Learning
CRM system for managing a service business — truck detailing in the USA
A custom CRM system for a service business in the truck detailing industry. The solution enables centralized management of clients, services, orders, payments, and staff, automates payroll calculations, and provides detailed business analytics.
Website Home Page, Users, Finance, Learning
AI-Powered Recruitment CRM for Resume Processing & Candidate Matching
Develop a recruitment automation CRM to process resumes, find candidates via AI filtering, and manage hiring campaigns. The system optimizes recruiter workflows, reduces manual data entry, and improves hiring accuracy.
Website Home Page, Users, Finance, Learning
Telegram bot for order placement and product catalog management
A Telegram bot with an administrative panel was developed for the client, allowing for the automation of order intake, product catalog management, and request processing without operator involvement. The solution is designed for fast customer service and easy management for the business.
Website Home Page, Users, Finance, Learning
Closed client portal with authorization and content management system
Development of a closed B2B portal with user authorization, structured content categories, and a knowledge management system. The platform allows clients to access technical documentation, downloadable files, news, products, and related materials through a personal account.
Website Home Page, Users, Finance, Learning
Expert Business Website for Selling Services and Products
A ready-made solution for launching an expert business focused on selling services and products. The website structure is adapted for scalable growth, easy content management, and fast project launch.
Develop a recruitment automation CRM to process resumes, find candidates via AI filtering, and manage hiring campaigns. The system optimizes recruiter workflows, reduces manual data entry, and improves hiring accuracy.
The client struggled with a high volume of resumes processed manually, which was time-consuming and led to the loss of relevant candidates.
The lack of a unified system complicated searching, filtering, and vacancy management. There was a critical need for a centralized CRM to automate data processing, improve candidate selection, and streamline recruiter workflows.
We analyzed recruitment processes, resume processing, and candidate interactions. Key HR workflows were identified, and a technical specification was developed, focusing on AI integration for automated candidate screening.
We designed the CRM structure, including modules for candidates, vacancies, resumes, AI analysis, filtering, candidate rating, and hiring process management.
A pre-built UI framework was selected and adapted for the CRM. The interface was optimized for high-speed HR workflows and intuitive candidate analytics.
Core CRM features were implemented: resume processing, vacancy creation, and candidate management. We integrated AI for automated resume analysis, relevance detection, and candidate ranking.
All system scenarios, including AI analysis, underwent rigorous testing. After final validation, the system was launched and integrated into live recruitment processes.
A unified system for resume processing, candidate management, and hiring automation.
AI processes resumes, determines candidate relevance, and generates recommendations for HR.
Reduced time-to-hire through automated filtering and structured data.
Intuitive interface for viewing candidates, managing vacancies, and decision-making.
All candidate info, resumes, and selection stages are stored in a single system.
The system is easily expandable with new features, integrations, and AI tools in the future.
The system supports the full candidate lifecycle—from resume upload to the final hiring decision. Built-in AI automatically extracts data from PDF files to build a structured candidate database. Users can edit information before saving, ensuring data accuracy and relevance.
Users can upload PDF resumes, and the system automatically identifies key data such as name, experience, skills, education, and location. All data is stored in a structured format along with the original file, enabling efficient information management.
An advanced filtering system has been implemented based on parameters such as job title, experience, location, age, and skills. Users can set criteria priority, and the system displays candidates based on their percentage match. The most relevant candidates are automatically highlighted.
The system allows for creating and managing recruitment campaigns with the ability to set vacancies, dates, locations, and statuses. Candidates can be added to campaigns to track their progress, recruiter ratings, and interview results.
The system provides the ability to export candidate data in Excel and CSV formats, as well as save original PDF files. This allows for integration with other tools and the conduct of external analytics.
The system supports various user roles: Viewer, Recruiter, and Administrator. Each role has its own level of access to functionality. Additionally, geographic access restrictions have been implemented, enabling seamless collaboration with international teams.
The CRM supports multiple languages, allowing the system to be used in different countries and adapted for international teams.
As a result of the development, a modern AI CRM system for recruitment automation was created, significantly simplifying resume processing, accelerating candidate selection, and increasing HR team efficiency. The system provides centralized data storage, seamless candidate interaction, and is ready for further scaling and development.
Resume processing automation
Candidate search optimization
Reduction in hiring time
Scalability readiness
To implement this project, we used a modern technology stack focused on stability and scalability:
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