Sam Powell

• Consulted with external partners on Workflow Automation and AI strategy to drive efficiency and business outcomes. • Built AI Agents to assist external partner workflows, enhancing productivity and streamlining processes. • Developed end-to-end systems utilizing Large Language Models, AI Agents and fine-tuned LLM's, resulting in improved operational efficiency and cost savings.

• Developed dynamic UI features for web applications using Next.js, React, and TailwindCSS. • Built and maintained robust backend features with NestJS for scalable server-side applications. • Optimized performance using Redis for caching and PostgreSQL for database management. • Contributed to the development of dynamic avatar lore generation by integrating LLMs and custom prompt engineering.

• Led a global remote team of front-end developers in building a sophisticated web product with Next.js and TypeScript. • Developed a high-efficiency data ingestion system in Rust for processing data from REST and WebSocket APIs, including automated database management. • Created a scalable API in TypeScript on Cloudflare Workers, featuring advanced query capabilities for efficient MySQL data retrieval. • Engineered an image upload pipeline using Cloudflare R2, enhancing user experience with dynamic content through easy image uploads.

• Developed a complex trading system in Rust for real-time arbitrage opportunity analysis in asset prices, using advanced algorithms to improve trading decisions. • Automated arbitrage execution on the Ethereum blockchain with a custom Solidity smart contract, utilizing ethers-rs for secure transactions. • Used AWS Rust SDK for efficient resource management, creating a system that adjusts resources automatically for peak performance. • Integrated various external APIs (REST, GraphQL) for data collection and normalization, enhancing the system's ability to detect and exploit arbitrage opportunities across platforms.

• Contributed to compiler tools within the LLVM framework using C++, ensuring their integration across diverse software projects for improved interoperability. • Collaborated with teams globally to maintain tool compatibility, streamlining organizational workflows. • Leveraged Python to integrate LLVM C++ components into build pipelines, boosting compilation efficiency and enhancing developer productivity.

• Analyzed bot protection systems using advanced techniques like static analysis for complex code analysis and manipulation. • Utilized code analysis to simplify and reorganize large programs, improving efficiency and clarity in bypassing bot protection mechanisms. • Created a specialized JavaScript runtime with Go and V8, mimicking browser behaviors for accurate bot protection challenge testing and interaction.