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Ikechukwu Ugwuanyi

@ikechukwuugwuanyi

Backend engineer at Minerva Technologies building NestJS services and AI-assisted features on OpenAI APIs.

At Minerva Technologies, I lead end-to-end development of flagship products using NestJS, TypeScript, and FastAPI. I introduced Kafka-based event processing and RabbitMQ/Celery background jobs, cutting API response times by 20%.

I also built an internal OpenAI support agent with tool calling and prompt-injection guardrails, and optimized services to sustain peaks of 50K+ concurrent sessions. Earlier, I engineered a Node.js/Express backend at Beevibe Technologies and deployed reliable WebSocket notifications at Feedfo Technologies.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

Minerva Technologies

May 2024 - Present (2 years 5 months)

Led end-to-end development of two flagship products on NestJS/TypeScript and FastAPI architecture, accelerating time-to-market by 25%. Optimized high-traffic endpoints with Redis caching and database indexing, reducing database load by 40% and sustaining peaks of 50K+ concurrent sessions.

NestJS TypeScript fastAPI Redis PostgreSQL MongoDB Kafka RabbitMQ Celery OpenAI Docker GCP CI CD OWASP GDPR

Software Engineering Intern

Minerva Technologies

May 2023 - Apr 2024 (11 months)

Built one of the company's three flagship products end to end in Node.js/TypeScript, from ideation to production deployment.

NodeJS TypeScript

Backend Developer

Beevibe Technologies

Feb 2021 - Apr 2023 (2 years 2 months)

Designed and maintained RESTful APIs in Node.js with fault-tolerant error handling and retry mechanisms. Engineered a Node.js/Express backend API from the ground up, supporting 5x user growth through modular design and horizontal scaling.

NodeJS ExpressJS REST APIs Error Handling Retry Mechanisms API Documentation

Backend Developer

Feedfo Technologies

Apr 2020 - Dec 2021 (1 year 8 months)

Deployed real-time notification systems using WebSockets (Socket.io) and RabbitMQ message queues, achieving 99.9% reliability for instant user updates. Improved overall system efficiency by 35% through SQL optimization and performance tuning.

WebSockets Socket.IO RabbitMQ SQL Optimization Performance Optimization