• Leveraged KafkaJS and the singleton pattern to create Apache Kafka producers, instantiating publishing nodes using custom classes to enable Kafka admins to dynamically load test their clusters.• Harnessed Next.js 13’s server-side rendering and code-splitting to achieve rapid initial page loads and minimize code bundles for superior app performance and resource utilization.• Utilized Jolokia JMX-HTTP bridges and batched MBean queries to optimize remotely extracting real-time health and performance metrics of Kafka clusters and maintain application scalability.• Incorporated Tailwind CSS utility classes and Victory’s modular charting components to deliver dynamic visual representations of live metrics crucial to overseeing a cluster.• Deployed Docker along with Compose and Build Kit to containerize/orchestrate the application with Kafka nodes, ensuring compatibility across AMD/ARM architectures and stable, performant networking.• Implemented Auth.js with Next.js 13 API Routes and secure session storage via NoSQL to integrate with Google and GitHub OAuth, ensuring a seamless and secure user experience.• Employed Jest for robust application testing and GitHub Actions for automated deployment to AWS EC2 hosting, creating a comprehensive CI/CD pipeline that guaranteed swift delivery.

• Leveraged React and React Router to create a lean and responsive SPA with efficient routing and conditional component rendering, minimizing network requests and creating a dynamic and responsive UI.• Devised Express controllers, routes and error checking to create a multi-stage handshake process for OAuth through Github, granting secure access to our application.

• Capitalized on Prisma to establish a unified, type-safe ORM layer for manipulating user relational data and sessions, using Prisma's robust tooling and schema-based type generation to expedite development.• Architected server middleware and incorporated Bcrypt in Mongoose pre-ware to salt, hash and store user-related data, securing sensitive account information against rainbow table attacks.

• Normalized SQL database through PostgreSQL to facilitate the efficient storage and consistent querying of user data, as well as implementing data input sanitization server-side to protect data integrity.• Devised NoSQL models and built out Bcrypt pre-ware to authenticate users and encrypt user data, taking advantage of document IDs and expiring documents in MongoDB to manage user cookies and sessions.

• Coordinated with software engineers to design web-based education platforms and develop digital curricula in tandem with adaptive learning technology.• Spearheaded R&D for creating a data tagging system to provision data for adaptive learning, working closely with teams managing existing data stores in SQL.

• Developed pitch strategy and white paper to illustrate the blockchain's consensus algorithm, asset tokenization model, and DID-focused development, translating technical concepts into high-level abstracted models for non-technical parties.

• Managed the processing and safeguarding of cryptocurrency holdings of the company, utilizing a mixture of online exchanges, hardware wallets and cold storage to ensure liquidity and security.