Microsoft Azure AI Essentials Professional Certificate by Microsoft and LinkedIn

Machine Learning

Advanced Data Structures in Java

Object Oriented Programming in Java

Learning Spring with Spring Boot

Principles of Secure Coding

Bachelor's degree

Contributed to AI services development, smart device capabilities.
Executed comprehensive software testing

Software Engineer

- XR/VR Platform Development: Led the development of the HP xRServices web platform, enabling real-time video calls with integrated augmented reality for remote assistance and training.
- Custom Real-Time Communication: Engineered a proprietary real-time communication solution optimized for HoloLens and XR devices, ensuring seamless video and AR data streaming.
- 3D Visualization & Interaction: Designed and implemented advanced 3D features using Three.js and WebGL, enabling interactive manipulation of 3D models and real-world annotations.
- Full-Stack Engineering: Built and optimized both frontend (React/TypeScript) and backend (Node.js/Express) components, ensuring scalability, maintainability, and high performance.
- Performance Optimization: Improved 3D rendering pipelines and real-time communication latency, delivering a smooth XR experience across devices and networks.
- Infrastructure & CI/CD: Developed automated CI/CD pipelines, introduced comprehensive testing strategies, and s

Software Engineer Tech Lead

Transforming retail by digitizing the physical world with battery-less BLE tags and real-time data platforms
- Backend Systems & APIs: Designed and implemented scalable backend services using Go and Python (FastAPI), powering real-time retail analytics and smart device communication.
- Data-Driven Applications: Collaborated closely with the Data and Platform teams to integrate data pipelines, event streams, and analytics services, enabling seamless interaction between physical retail items and digital systems.
- Microservices & Cloud Infrastructure: Developed and optimized microservices running on AWS/GCP, leveraging Docker and Kubernetes for deployment, scalability, and high availability.
- Real-Time Processing: Built APIs and services for ingesting and processing high-volume event data from IoT tags, ensuring low-latency, fault-tolerant operations.
- Cross-Team Collaboration: Partnered with Product, Data Science, and Platform engineers to translate business requirements into technica

- Engineered high-performance systems to manage over 20 billion requests per day, enhancing system reliability and service quality.
- Collaborated in a cross-functional team to optimize database operations using SQL, MongoDB, and Redis, achieving significant improvements in response times.
- Developed and deployed scalable services on AWS using Docker, with continuous integration/continuous deployment (CI/CD) pipelines
- Crafted dynamic user interfaces employing TypeScript and React

Software engineer

leetcode

productHunt

github

Know about Peter Sibirtsev's work experience, education, and much more. Peter Sibirtsev