As a core developer at KRNL, I played a pivotal role in implementing a custom Ethereum node client to support the platform's execution-sharding system. This involved developing a robust JSON-RPC API service that orchestrates and verifies smart contract execution across multiple blockchain networks, enhancing scalability and efficiency. My responsibilities included architecting the core protocol codebase in Go, optimizing performance for high transaction volumes, and ensuring seamless integration of decentralized applications (dApps) with the KRNL Protocol. Through this work, I contributed to the development of a distributed runtime that determines transaction outcomes based on selected kernels across diverse environments, thereby improving dApp responsiveness and reducing time-to-market.

As the lead developer for Alchemist Trading, I led the development of an innovative algorithmic trading marketplace. This platform connects traders with advanced, automated trading strategies, offering in-depth market research and consulting services. Leveraging over seven years of expertise in algorithmic trading, our team crafted high-performance strategies tailored for both Forex and Stock markets. I was responsible for architecting and implementing the platform's core functionalities, ensuring seamless integration of automated trading systems, and facilitating rigorous backtesting frameworks. Our methodical approach encompasses strategy development, market analysis, and performance validation, empowering traders to navigate complex markets with confidence.

Experienced full-stack developer with a strong background in frontend, backend, data engineering, DevOps, and GenAI-driven analytics. Proficient in React.js and modern front-end libraries, translating designs into responsive and intuitive user interfaces. Architected and developed scalable backend systems for marketplaces, secure payment gateways, and automated bots, implementing complex business logic and algorithms for quantitative investment data. Designed high-performance ETL pipelines, leveraging TimescaleDB to process and optimize real-time financial data. Led DevOps initiatives, automating deployments with Jenkins, Google Cloud Build, Terraform, and Docker, ensuring reliability and scalability. Additionally, developed GenAI-powered investment analytics in collaboration with a Quantitative Investment Lab, providing expert insights into Gold OI trading strategies through advanced quantitative modeling.

Played a crucial role in the development of KTB Next, a cutting-edge microservices-based platform built with Go. Collaborated closely with cross-functional teams to thoroughly understand the system architecture and requirements documented in Jira and Confluence. Implemented robust unit testing and integration testing frameworks to ensure the reliability and correctness of the microservices, adhering to industry best practices for distributed systems design. Developed comprehensive test suites covering various scenarios, edge cases, and failure modes, achieving high code coverage and confidence in the software's quality.