Vetted GitHub Professionals

ALEKSANDR BOIARINTSEV

Screened

Senior Unity Engineer specializing in mobile game development

14y exp

“Unity/C# gameplay engineer with hands-on ownership of AI and multiplayer systems, including a modular ship AI system and a real-time battle flow built with Mirror. Stands out for combining strong gameplay architecture and network debugging with pragmatic AI/LLM-assisted development workflows, plus proven experience collaborating across distributed teams and time zones.”

“AI engineer with hands-on experience shipping production systems across semantic search, RAG/LLM applications, and computer vision. Built a personalized e-commerce search platform with measurable relevance and latency gains, and deployed grounded GenAI chat systems that significantly reduced hallucinations while lowering support burden. Also brings edge-deployment experience in monocular depth estimation and 3D reconstruction, suggesting strong breadth across modern applied AI.”

“Frontend-focused engineer with experience building complex browser-based internal tools for public safety teams, emphasizing role-based usability, reusable components, and multi-system API integration. They also demonstrate practical performance tuning skills in React/TypeScript applications, including reducing unnecessary re-renders and simplifying workflows to improve user efficiency.”

“New-grad software engineer who built a real-world smart-city traffic camera/operations dashboard pitched to Peachtree Corners, GA, integrating Bosch cameras with an MQTT/Node-RED/InfluxDB pipeline and Grafana visualizations. Implemented rule-based alerts (including SMS dispatch for janitorial cleaning) and improved production reliability with queuing, redundancy, monitoring, and load testing, reaching ~99% message delivery. Actively seeking onsite, customer-facing roles with travel.”

“Built a Smart Resume Screening tool with a React frontend and a Python backend, owning most backend architecture and delivery. Implemented FastAPI endpoints for file upload and NLP/ML inference, created the end-to-end resume classification pipeline, logged predictions to a database for accuracy tracking, and deployed a Dockerized service optimized for low-latency, concurrent processing.”