Azizbek Siddikov

• ▸Designed and trained a YOLOv11-based object detection model on 600K+ images, contributing to a 2nd-place finish among 650 companies in AI Champion 2025 ($800K award).
• ▸Refactored order page architecture and frontend logic, reducing code volume by 4× and enabling faster rollout of new product lines.
• ▸Migrated internal order management and CRM workflows from polling-based to event-driven architecture, improving scalability.
• ▸Developed Python automation tools for device calibration and PCB validation, reducing manual test steps from 8 to 2 and enabling parallel multi-device QA.

• ▸Built and launched a social platform for book discussions ('Twitter for books') from scratch with a 3-person team, attracting 70+ early users.
• ▸Designed and integrated AI-driven book recommendation logic based on friends' reading activity and search behavior to increase engagement potential.
• ▸Owned end-to-end full-stack development in a small, fast-moving team.

• ▸Optimized large-scale image/video dataset pipelines for computer vision projects, improving labeling accuracy and team coordination via automated dashboards.
• ▸Built an internal Python library for data preprocessing and file management, reducing dataset preparation time by 60% and improving consistency.
• ▸Led a team of three data labelers, defining standardized annotation protocols across CVAT and MakeSenseAI.

Eventify is a full-stack event management platform I built from scratch, designed to discover, create, and manage events at scale. It features a GraphQL API, scheduled batch processing, and AI-powered web crawling to automatically collect and organize events from external event platforms.

A full-featured online fashion platform built from scratch, where users can browse products, place orders, and manage their purchases. It also includes a dedicated admin panel for managing products, users, and orders, showcasing end-to-end ownership of a real-world web application from concept to deployment.