Isaac John

• Built the backend for a multi-tenant school management SaaS (NestJS, TypeORM, PostgreSQL) covering academic sessions, staff, students, and end-of-session progression. Merged 65+ pull requests in the first few months.

• Designed a robust access model where permissions follow responsibility (e.g., class teacher, parent, student), enforced via a centralized access service and permissions guard.

I lead engineering at Olystique, turning product ideas into reliable software from architecture and development to deployment and ongoing improvements. My role spans fullstack engineering, DevOps, and product decisions. I manage cloud infrastructure, automate delivery workflows, and guide technical priorities, balancing what users need with what we can build and maintain well. I stay hands-on thro

Led backend architecture and development of a multi-tenant SaaS platform automating P2P crypto trading operations FastAPI, PostgreSQL, Redis, improving vendor operational efficiency by 40. Engineered an automated trade ingestion and FIFO auto-assignment engine integrated with the NoOnes P2P exchange API, using concurrency-safe row-level locking SELECT … FOR UPDATE SKIP LOCKED to eliminate double-a

Architected and scaled event-driven backend systems for payments,
authentication, and real-time event processing, improving system scalability.

Designed and implemented asynchronous transaction workflows using RabbitMQ,
enabling reliable, fault-tolerant processing of high-volume financial operations
Built a payment processing system with webhook handling, reconciliation flows,
and multi-currency

Implemented an order tracking system for the admin panel, improving order status
visibility for vendors and customers, reducing support queries by 40%.
Developed product category management where admins create categories, and
vendors select them during product creation, ensuring structured inventory
organization and improving product classification accuracy by 35%.
Designed serializers and API end

Optimized web scraping scripts using Python, improving data retrieval speed by 40% and reducing server load by 30%.
Enhanced the scraping process to handle large datasets, increasing scalability by 50% and ensuring seamless integration across multiple data pipelines.
Implemented robust data validation and error-handling mechanisms, ensuring 95% data accuracy and reliability.
Integrated automate

Developed and maintained a secure, scalable backend system using NestJS and MongoDB, optimizing patient data management and complex healthcare workflows.
Engineered end-to-end modules to capture patient visits, treatments, diagnoses, and payment data, improving data accuracy by 30%.
Implemented advanced MongoDB schemas that reduced query times by 40%, enhancing data retrieval for medical and finan

Optimized web scraping scripts using Python, improving data retrieval speed by 40 and reducing server load by 30. Enhanced data pipelines to handle large-scale datasets, improving scalability by 50 and streamlining integration. Implemented robust data validation and error-handling mechanisms, ensuring 95 data accuracy and reliability. Integrated automated scheduling and logging systems, reducing m

Improved test automation efficiency by integrating WinAppDriver with the Guará
framework, reducing manual test execution time by 50% and improving validation
accuracy.
Developed setup and teardown transactions to enhance automation reliability and
manage the lifecycle of WinAppDriver and undetected-chromedriver, increasing
test execution stability by 40%.
Automated web interactions while bypassing

I am currently part of an apprenticeship team working on improving Tifi.tv, an AI-driven video platform designed to personalize content delivery and enhance user engagement. I have been actively involved in backend development efforts, contributing to optimizing API integrations, improving content retrieval processes, and implementing strategies to enhance system performance. This apprenticeship h

Led backend development of an AI-driven platform, utilizing asynchronous processing to improve system performance by 20%.
Optimized database queries and indexing strategies, reducing query response times by 35% and boosting system efficiency for content retrieval.
Integrated advanced APIs to enhance system scalability, improving uptime and reducing system downtime by 15%.
Contributed to a collabor

Spearheaded backend development for an AI-driven platform, enhancing performance by 20 through asynchronous processing. Streamlined database operations by optimizing queries and indexing strategies, reducing query processing times by 35, and improving system scalability. Integrated advanced APIs to enhance scalability, reduce downtime by 15, and increase system uptime. Drove a 25 boost in project

Spearheaded process re-engineering projects, optimizing web application performance by 30% using advanced Python frameworks.
Designed and deployed scalable database systems using MySQL, PostgreSQL, and Redis, improving data retrieval speeds by 50%.
Administered server configurations and deployments, increasing operational efficiency by 30% and reducing system downtime by 20%.
Delivered complex web

Spearheaded process re-engineering, optimizing web application performance by 30 through Python-based frameworks. Deployed scalable database systems using MySQL, PostgreSQL, and Redis, improving data retrieval speeds by 50. Configured and deployed servers, increasing operational efficiency by 30 and reducing downtime by 20. Delivered a complex Airbnb-like web application, enhancing scalability by