andrewdev

Member of C4, a decentralized Web3 development collective participating in builder bounty programs and protocol ecosystem initiatives. Currently focused on Zama's FHEVM protocol, developing privacy-preserving decentralized applications with confidential smart contracts: - Built and deployed 30+ DApps showcasing FHEVM capabilities (Fully Homomorphic Encryption for EVM) • Implemented end-to-end solutions: Solidity smart contracts, frontends, wallet integration, testnet deployment • Developed projects including PrivateSubscriptionCalibrator and other confidential computing use cases • Conducted smart contract testing, debugging, and optimization on Sepolia testnet • Collaborated with collective members on protocol R&D and technical documentation

Optimized 70,000+ images achieving 90% size reduction (60GB → 8GB) and 10-15x faster load times through WebP conversion and intelligent compression. Designed the application and coded my own narrow-field expertise into its logic, making complex tasks at the level of laboratory head/candidate of science accessible to users without special training. Automated complete laboratory workflow reducing data processing time by 60% (2-3 hours → 40-60 minutes) through real-time calculations and PDF report generation. Built centralized data environment with advanced search and analytics, replacing scattered Notion/Word/Excel/Drive documents. Developed REST API for route aggregation with optimized MongoDB queries, complex filtering and user-specific settings. Integrated the Leaflet library to build a map displaying routes and markers, implemented custom map selection (OpenStreetMap) and dynamic route display. Enhanced frontend performance (React + Redux Toolkit) by eliminating redundant requests, fixing logic duplication and resolving display errors.

Architected and implemented core CRM modules: employee management, client database, service catalog and product inventory system. Collaborated with designer, team lead and other team members to create modern, user-friendly interface improving salon staff productivity and system adoption. Integrated frontend (Next.js, React) with Python/PostgreSQL backend using RTK Query ensuring reliable real-time data synchronization.