divineux23

Architected and implemented a comprehensive blockchain API platform supporting smart contract deployment, management, and interaction. Developed real-time WebSocket notifications system for blockchain events and activities using async Celery-Redis. Implemented API key management, usage tracking, and rate limiting enhancing security and system reliability. Deployed monitoring stack (Prometheus, Grafana, Loki) and achieved 95%+ test coverage with pytest. Containerized application with Docker and automated deployment via GitHub Actions. Implemented JWT/OAuth + Web3 wallet authentication, reducing security incidents.

Engineered a full-stack health e-commerce platform using Python, Django, HTML, CSS, and JavaScript, handling all phases from design and full-stack development to deployment. Successfully launched and deployed the live production site, attracting and serving an average of 919 unique monthly users. Integrated secure payment processing via Paystack and automated shipping logistics with the Shipbubble API, creating a seamless and reliable customer order-to-delivery workflow.

Enhanced testing efficiency by developing API and function tests using FastAPI, reducing debugging time by 30% through the implementation of automated testing with mock MySQL and MongoDB databases. Optimized data management by designing and integrating a MongoDB database, reducing data retrieval times by 40% and enhancing overall system performance.

Collaborated with a team of 10+ developers and designers to develop a platform aimed at improving healthcare accessibility by connecting users with medical practitioners. Enabled seamless self-diagnosis by architecting a scalable backend using FastAPI and Langchain, resulting in a 35% increase in user engagement. Gained hands-on experience in healthcare tech and agile development processes, contributing to the project's technical foundation.

Increased operational efficiency by through the development of a scalable FastAPI backend and MySQL database, facilitating the effective management and retrieval of over 500 assets. Streamlined asset tracking processes, resulting in a 30% reduction in manual tracking errors and improved data accuracy.

Enhanced AI deployment efficiency by 25% through Dockerizing and deploying AI models on PaperSpace, improving backend integration and overall system performance. Contributed to seamless system operations by optimizing the deployment process, leading to a 20% reduction in system downtime.