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Schedule Interview NowMy name is Vadym B. and I have over 8 years years of experience in the tech industry. I specialize in the following technologies: Swift, UIKit, Core Data, iOS, iOS Development, etc.. I hold a degree in Master's degree. Some of the notable projects I’ve worked on include: Automated Call Center Powered by AI Agent (RAG System), HelpDesk AI Agent, Smart Retail Cart with Automated Checkout Powered by AI, Chalkboard Second Line Number, Otrium - online fashion outlet marketplace, etc.. I am based in Dnipro, Ukraine. I've successfully completed 12 projects while developing at Softaims.
I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.
My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.
My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.
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8 years
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We developed an AI-powered call center solution using a Retrieval-Augmented Generation (RAG) system to boost customer support, enhancing response accuracy, speed, and cost efficiency. Key Results: * 30% improvement in response accuracy for precise AI replies. * Reduced call handling time for faster issue resolution. * Instant AI response generation on some calls. Cost & Efficiency: * 15% reduction in service costs via automation, with many calls resolved without human help. Customer Satisfaction: * 24/7 availability improves satisfaction, offering consistent, reliable support.
Our HelpDesk Chat Bot manages customer queries using a graph database, providing possible answers via non-AI algorithms. If action is required, it forwards the query to a specialist through a built-in classifier. Key Features: * Graph Database: Offers multiple response options to resolve queries. * Efficient Escalation: Classifier directs complex queries to human specialists. * Non-AI Algorithms: Demonstrates effective solutions without AI. Benefits: * Reduces human intervention. * Escalates only action-based queries to experts. * Customizable and scalable for business needs.
This AI-powered retail cart automates product recognition, checkout, and payment for over 8,000 items. It integrates with loyalty systems. * Product Recognition: Two neural networks detect products, convert them into vector data, and store them. * Easy Product Addition: Add new items by taking two photos, with instant database updates. * Checkout & Payment: Built-in instant payment with loyalty integration. * Embedded AI: Processes in real-time on a tablet, no cloud needed. Efficiency: Faster checkout and reduced staff reliance. Scalability: Quick product updates support expansion.
Over the course of a year, my journey with Chalkboard was dedicated to achieving our client's goal: simplifying and modernizing business communication. As a senior iOS Engineer, my primary contributions included designing, developing, and refining the app to ensure it met these objectives. My role involved collaborating closely with a skilled team of five iOS engineers to create an intuitive, mobile-based solution for businesses. I strived to introduce innovative features, maintain app stability, and optimize the user experience. With each feature added or issue resolved, we inched closer to realizing our vision. The project's success was evident in Chalkboard's transformation into a fully mobile-based business phone app, offering privacy, customization, and a robust set of features for teams. It addressed the client's goal of eliminating the complexities and high costs associated with traditional phone systems, and we achieved this while adhering to transparent pricing structures. Overall, the project exemplified our commitment to simplifying business communication and was a testament to the team's hard work and dedication.
Otrium is an online fashion outlet marketplace that tech-enabled designer brands to turn unsold inventory into an opportunity, I was developing the iOS app for 2 years, hiring the iOS team of 3 software engineers. Now Otrium app has hundreds of active users, 99.9%+ crash-free user statistics, and 5.0 rating in App Store.
Master's degree in Computer Sciences and Information Technologies
2012-01-01-2018-01-01