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Rostam Jabbaroff

Product Designer & Developer

Crystallizing Ideas into Reality

Solve what truly matters.
Build what actually lasts.
Deliver what really works.

Engineering Expertise

20years of experience across print, dental, and tech industry. I'm a Product Designer and Developer who leads with user-centered thinking and delivers with code. I’ve shaped product strategy, built design systems from zero, and led cross-functional teams in startups and scaling companies alike. I don’t just design interfaces — I build high-performance systems that serve real users and real business goals.

What I bring

  • User insight — I extract value from real needs and behavior.
  • Strategic framing — I define clear problems and align teams.
  • Systems ideation — I generate scalable, feasible solutions.
  • Fast prototyping — I move from idea to testable flow quickly.
  • UX validation — I refine through testing and iteration.
  • Code execution — I build and ship production-grade products.

AI, real-time infrastructure, blockchain — not trends, but tools. I work at the intersection of design, code, and strategy — where clarity becomes execution, and execution creates value.

experience

SportsEngine logo

Software Engineer

SportsEngine

Oct 2023 - Present

As a software engineer at SportsEngine, I focus on architecting and developing scalable, high-performance applications that power team management and real-time communication within the sports ecosystem.

- Designed and implemented microservices for efficient data handling and system interoperability.

- Developed a scalable back-end infrastructure optimized for real-time data exchange and high-load environments.

- Enhanced CI/CD pipelines to streamline deployment processes and ensure system reliability.

- Enhanced real-time communication and notification systems to improve engagement and user interaction.

- Applied structured software development methodologies to maintain system maintainability and performance.

Software Architecture
Microservices
Real-Time Systems
Scalable Back-End
CI/CD Optimization
Cloud Infrastructure
API Development
Distributed Systems
Real-Time Communication
Agile Methodologies
DS Sports Ventures logo

UI/UX Developer

DS Sports Ventures

Jan 2022 - Oct 2023

At DS Sports Ventures, I focused on applying research-driven UX methodologies to optimize adaptive and responsive UI, ensuring seamless user experiences across platforms.

- Conducted HCI research to enhance interface usability and engagement.

- Developed computational front-end components with a focus on performance and efficiency.

- Designed and maintained scalable UI architectures, ensuring consistency and cross-platform accessibility.

- Integrated data-driven UI elements with predictive analytics to optimize decision-making in sports applications.

Human-Computer Interaction
Front-End Performance Optimization
Data-Driven Design
Predictive Analytics
UX Research
Captuure Sport Start-Up logo

UI/UX Designer

Captuure Sport Start-Up

Feb 2019 - Jan 2022

As a UI/UX Designer at Captuure Sport, I focused on creating intuitive, data-driven design solutions by integrating scientific UX research methodologies.

- Applied HCI principles to design data-informed UI systems for sports applications.

- Validated UI prototypes using structured user research methodologies.

- Optimized UI responsiveness and performance to enhance usability across multiple devices.

- Worked closely with development teams to implement scalable, maintainable UI components.

Human-Computer Interaction
Performance Tuning
Cross-Platform Design
UX Research
Data-Driven UI Design
Usability Testing

projects

SportEasy

Team Management Platform

SportEasy is an advanced team management platform designed to optimize scheduling, communication, and performance tracking for sports teams at all levels.

Challenge: Developing a high-performance, scalable architecture to handle real-time team coordination and user engagement.

Solution: Engineered a fault-tolerant microservices architecture, implemented real-time notifications, and optimized data-driven scheduling to ensure a seamless experience for coaches and players.

Software Architecture
Microservices
Real-Time Data Processing
Team Management
Sports Analytics
CI/CD Optimization

PredictionStrike

Sports Investment Platform

PredictionStrike is a sports stock market platform enabling real-time buying and selling of athlete shares based on performance metrics.

Challenge: Designing a scalable trading system capable of processing real-time data streams while ensuring transactional security.

Solution: Developed a robust distributed system architecture, integrated high-frequency data pipelines, and optimized financial transactions for speed and reliability.

Distributed Systems
FinTech
Real-Time Data Processing
Microservices
Sports Analytics
Cloud Infrastructure

EL1 Sports

Sports Training & Development

EL1 Sports provides elite training programs for athletes, integrating data analytics to enhance performance tracking.

Challenge: Building an interactive system to manage training schedules, track athlete progress, and integrate performance analytics.

Solution: Designed and implemented a cloud-based platform with intelligent scheduling algorithms, performance monitoring tools, and seamless facility integration.

Sports Training
Performance Tracking
Cloud-Based Architecture
Scalable System Design
User Experience Optimization

CoachCorner

Sports Coaching Platform

CoachCorner is a data-driven coaching platform designed to enhance team management and performance analysis through advanced analytics and communication tools.

Challenge: Developing an interactive, feature-rich platform that integrates real-time communication and video analysis for coaching insights.

Solution: Built a scalable full-stack solution with real-time chat, AI-powered performance analysis, and an intuitive UI for streamlined coaching workflows.

Software Architecture
Real-Time Communication
AI-Driven Analytics
Sports Coaching
Video Processing
Performance Tracking

Reboot Motion

Sports Biomechanics

Reboot Motion applies sports biomechanics and data science to enhance athletic performance and minimize injury risk.

Challenge: Developing a real-time motion analysis platform capable of handling biomechanical data processing and visualization at scale.

Solution: Implemented a cloud-based analytics engine with AI-driven movement pattern recognition, real-time data visualization, and a scalable backend to support continuous athlete monitoring.

Biomechanics
AI-Driven Motion Analysis
Real-Time Data Processing
Sports Science
Cloud Computing
Data Visualization