pro
Denys Dumynskyi
Full-stack developer delivering end to end software products
Legal Beagle – Mobile App Development for Legal Service Automation
Preview description:
Legal Beagle needed legal services to work properly on mobile. We delivered Android and iOS apps with five-minute onboarding, secure chat, video calls, e-signatures, and data that stays current across devices.
Full description:
Problem
Attorneys and clients at Legal Beagle were stuck moving paper between tools that didn't connect. The client wanted one legal SaaS product that lived on people's phones: secure messaging, fast attorney onboarding, e-signatures, and a shared space to work a case, same on Android, same on iOS.
Solution
IT Craft provided full-cycle mobile app development for Android and iOS. The team reviewed legal workflows, mapped mobile user flows, and built real-time features for secure messaging, video and audio consultations, document exchange, e-signatures, and case collaboration.
Both apps were built to keep user data current across devices, so lawyers and clients could continue their work without losing context. IT Craft also integrated CRM systems and digital signature tools, including Clio and DocuSign, and set up cloud infrastructure for secure legal service delivery. The product included compliance-focused security, data protection, and a white-label setup for future expansion into new legal markets.
Results
· Delivered Android and iOS apps for a legal SaaS platform.
· Added secure chat, video consultations, document workflows, and e-signatures.
· Enabled real-time synchronization across mobile devices.
· Reduced mobile attorney onboarding to 5 minutes.
· Integrated CRM and digital signature tools, including Clio and DocuSign.
· Developed a white-label version for expansion into new legal markets.
Tech Stack:
· Kotlin
· Android SDK
· Swift UI Kit
· PHP 8
· Symfony 6
· API-Platform
· Node.js
· AWS ECS (Fargate)
· Docker
· Firebase
· PostgreSQL
· MySQL
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2
190
Adorama: 13 Years of 24/7 Support for a $500M+ E-Commerce Platform
Preview description:
We provided long-term 24/7 technical support for Adorama’s $500M+ ARR e-commerce platform, helping maintain 99.8%+ uptime, ship 2 releases per week, and keep team turnover at around 12%.
Full description:
Problem
Adorama needed a long-term technology partner capable of supporting a complex e-commerce ecosystem while maintaining business continuity, preserving product knowledge, and scaling engineering capacity as the platform evolved.
Solution
Over 13 years of collaboration, IT Craft scaled from a single engineer to a 54-person team supporting multiple areas of the platform. Our engineers became part of the client’s product cycle, supporting frontend, backend, testing, monitoring, platform maintenance, and infrastructure optimization.
The team helped keep the platform stable while releasing updates on a predictable schedule. IT Craft also supported recruitment, onboarding, team management, and retention, making sure new specialists joined quickly and product knowledge stayed inside the team. This setup gave Adorama continuous support for a high-revenue e-commerce platform instead of short-term development help.
Results
Maintained 99.8%+ uptime across a $500M+ ARR e-commerce platform.
Scaled the dedicated team from 5 to 54 specialists.
Delivered an average of 2 production releases per week.
Maintained team turnover at approximately 12% throughout long-term cooperation.
Tech Stack:
C#
ASP.NET (http://ASP.NET)
.NET Framework
JavaScript
jQuery
ASP MVC
MS SQL
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160
MyCarrier: DevOps & Cloud Transformation for Scalable Logistics SaaS
Preview description:
We helped MyCarrier move toward cloud-ready DevOps: adapted the system for microservices, implemented CI/CD and test automation, moved workloads to Azure, achieved 99.9% availability, decreased update delivery time to minutes.
Full description:
Problem
MyCarrier was growing fast, and the monolithic codebase became harder and more expensive to maintain. It was heavy, resource-consuming, and less suitable for the client’s long-term scaling plans. The team also needed faster delivery processes, but changes in the codebase and cloud migration had to stay unnoticed by users. Their logistics workflows could not be interrupted.
Solution
IT Craft aligned the project infrastructure with a microservices architecture and prepared the system for cloud operation. The team started with a technical audit and developed the migration strategy consisting of 20-28 items. The process was divided into pre-migration, migration, and post-migration phases, thus the product could keep running while infrastructure changed step by step.
The team moved non-critical standalone jobs to the cloud, connected virtual machines to Azure Storage Account, moved logging to MongoDB Atlas, and transferred user data and related processes to the cloud. New app functionality was released as microservices. IT Craft also designed and fine-tuned a CI/CD pipeline, automated infrastructure deployments, and reduced update delivery time through regression test automation.
Results
· Achieved 99.9% system availability.
· Maintained high fault tolerance using three shared clusters.
· Reduced update delivery time from hours to minutes.
· Enabled Sprint focus changes every two weeks based on client priorities.
Tech Stack:
· Azure Cloud
· MongoDB Atlas
· Azure SQL
· Azure App Service
· Azure Functions
· Azure Storage Account
5
16
540
Role-Based AI FAQ System: Right Answer for Every User, Instantly
Preview description:
We built a modular, AI-assisted FAQ platform where the LLM acts as an intelligent query router to a centralized knowledge base, reducing support workload by 40%–70% and providing public, investors, partners, and employees with accurate information.
Problem
The client is a manufacturer of advanced multifunctional materials. He wanted to ensure all interested users had access to relevant information quickly, reliably, and without placing an extra burden on the company’s experts. A conversational interface was required to enable users to ask questions in natural language and receive responses while keeping AI behavior controlled and transparent.
Solution
We designed a standalone OpenAI-powered FAQ module with a controlled-response engine that generates answers based on predefined information, taking roles and permissions into account. As it is separated from the client’s Vercel-based website, the integration takes place via an iframe, while account management and access level assignment are handled within Vercel CMS.
When a user asks a question, the system filters the query based on the identified role (public, investor, partner, or employee) to eliminate data leakage. Then it applies the vector search to deliver an answer that is stored in the admin panel. The system also ensures that each response is accompanied by documents and links to Vercel pages based on available tags.
Results
The FAQ system reduces the average time needed to find information from 10–15 minutes to under 30 seconds through conversational search and centralized knowledge management. The support workload decreased by 40%–70%. Onboarding time for employees, partners, and investors decreases by 50–80% while the system grants instant access to structured answers.
Tech stack:
- OpenAI API for query understanding
- VectorDB (pgvector) database for semantic question matching
- PostgreSQL as a structured database for storing FAQs, tags, roles, and permissions
- Python/FastAPI for backend and admin panel development
- iframe for secure communication
- Vercel CMS Vercel-hosted frontend integration
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