Available for projects
I build high-performance backend architectures, engineer sophisticated Telegram automation platforms, and manage robust cloud infrastructure. From writing the first line of code to reliable deployments. Full lifecycle engineering ownership.
I approach every system with a clear mindset: build it to last, build it to scale, and build it so someone else can maintain it. Every architectural decision is measured against production reality, not theoretical elegance.
Systems must work when no one is watching. I design for failure scenarios, implement graceful degradation, and build monitoring into every service.
Code is read far more than it is written. I structure projects with clear separation of concerns, consistent patterns, and documentation that serves future developers.
Architecture decisions are made with growth in mind. From caching strategies to async processing, every system is built to handle increasing load without re-architecture.
Complex internals, simple operations. I automate deployments, standardize configurations, and build systems that are straightforward to operate and debug.
Production backend systems using Django and Django REST Framework. Complex data models, business logic layers, background task processing, and database optimization.
RESTful API design with authentication, rate limiting, pagination, and documentation. JWT-based auth systems, API key management, and secure endpoint design.
Sophisticated Telegram bot platforms using Aiogram 3.x and pyTelegramBotAPI. State machines, inline keyboards, rate limiting, Redis sessions, broadcast systems, and webhook integrations.
Connecting backend services with payment gateways, notification systems, file storage, and third-party APIs. Reliable integration layers with error handling and retry logic.
Full deployment ownership: Docker containerization, Nginx reverse proxies, AWS infrastructure, CI/CD pipelines, server management, and production monitoring.
I don't just write code and hand it off. I deploy every system I build, manage the servers, maintain uptime, and handle infrastructure issues. Full engineering ownership from development through operations.
Complete deployment workflow: provisioning, configuration, containerization with Docker, and reverse proxy setup with Nginx.
Managing multiple production services including web servers, background workers, databases, cache layers, and bot processes across environments.
AWS infrastructure management: compute instances, managed databases, object storage, security groups, and networking.
Logging, error tracking, and health monitoring across all services. Structured logging and proactive monitoring to catch issues early.
Maintaining high availability for production systems. Handling incidents, zero-downtime updates, and live database migrations.
Automated backup systems for databases and codebases. Scripted procedures, secure storage, and tested recovery processes.
Production systems I've designed, built, deployed, and operate. Each system solves a real-world problem and runs in production environments serving real users.
Financial platform with deal management, bidding, escrow, wallet system, and admin dashboard. Handles real financial transactions.
Headless e-commerce API powering an online fashion platform. Product catalog, cart, orders, wishlist, and financial management.
Multi-vendor e-commerce backend powering a mobile application. Vendor management, orders, real-time chat support, and notifications.
Educational quiz platform serving thousands of students. Multi-grade questions, competitive scoring, broadcasting, and scheduled sessions.
Group management and moderation bot with web admin panel, premium tiers, auto-moderation, statistics, and Celery background workers.
Job and internship platform with three coordinated bots for applicants, employers, and admins. Django backend with web application.
Python for all backend and bot development. Go for microservice architectures. JavaScript for frontend and tooling.
Django & DRF for production APIs and admin systems. Aiogram 3.x & pyTelegramBotAPI for async Telegram bot development. Celery for distributed task queues.
PostgreSQL as primary relational database. Redis for caching, sessions, rate limiting, and message broker for Celery.
AWS (EC2, RDS, S3) for production hosting. Docker for containerization of all services. Nginx for reverse proxy and static serving.
GitHub Actions for CI/CD pipelines. Gunicorn as WSGI production server. Shell scripting for deployment automation.
RabbitMQ for message queuing in microservices. Telegram Bot API for bot platform integration. REST APIs as standard API protocols.
ALX Africa, October 2025
Completed the 4-month ALX Software Engineering Programme in ProDev Backend, covering scalable system design, database optimization, CI/CD practices, and production deployment strategies.
ALX Africa, June 2025
Completed ALX Professional Development Skills for the Digital Age, covering professional communication, critical thinking, and modern collaboration frameworks.
Telegram Platform | Live
Built and scaled LenegeQuizBot to 150K+ total users with 50K+ monthly active users. Serving thousands of students daily with educational quizzes across multiple grade levels.
I'm available for backend engineering projects, Telegram bot platforms, API development, and system architecture consulting. If you're a startup, technical founder, or team that needs production-grade backend systems, let's talk.