dylsholley

• Led the development of a cross-platform DeFi application on Binance Smart Chain (BSC) using Solidity and MERN stack, that enabled seamless token swaps, reducing transaction times by 35% and handling over $50 million in daily transactions. • Designed and deployed a high-performance smart contract system on Ethereum and Polkadot using Rust and Golang, boosting transaction security and reducing gas fees by 25%, resulting in more efficient and cost-effective blockchain operations. • Integrated Chainlink oracles for real-time price feeds for stablecoins, enhancing the reliability and accuracy of financial data. • Designed and implemented A/B testing frameworks for front-end components, allowing for iterative testing and optimization of features, which led to a 20% boost in user engagement by refining and enhancing the overall user experience. • Conducted code audits and security assessments on smart contracts, identifying and resolving vulnerabilities that could have led to potential losses of over $2 million.

• Designed and developed a responsive e-commerce platform using HTML5/CSS3, TypeScript, Angular, Bootstrap, PHP, Laravel and PostgreSQL, which resulted in a 100K+ monthly active users and transactions exceeding $5M per month. • Led the transition from legacy systems to a microservices architecture leveraging Docker, Kubernetes, and AWS, reducing server costs by 30% and significantly enhanced system scalability, making it more adaptable to growing demands. • Integrated Elasticsearch into the platform, improving search speed by 70% and leading to a 25% increase in user engagement. • Crafted and established API endpoints using GraphQL to optimize data retrieval, reducing server response times by 40%. • Implemented a robust CI/CD pipeline using Jenkins, Docker, and Kubernetes, resulting in a 50% reduction in deployment times and zero downtime during updates, significantly enhancing the efficiency and reliability of the release process.

• Developed and maintained backend services for a legal tech platform, utilizing Python, Flask, and PostgreSQL to handle over 1 million legal documents, optimizing database queries and improving data retrieval times by 50%. • Built a secure, scalable REST API with Django and Redis to process real-time analytics data, ensuring GDPR/CCPA compliance. • Collaborated with frontend teams to integrate backend services, improving system performance and user satisfaction by 30%. • Implemented tests using Jest and Selenium, increasing code coverage to 95% and reducing bugs in production by 40%. • Automated data migration and backup processes using AWS Lambda and S3, resulting in a 90% reduction in manual intervention and enhancing data integrity.