Ndeweni Tonny
@ndewenitonny
Backend engineer building secure, scalable systems with automation and security focus.
What I'm looking for
I’m a backend-focused software engineer passionate about building secure, scalable systems and automating repetitive workflows. Right now, I’m spearheading development of Instipass, an AI-powered student ID platform, where I turn institutional requirements into dependable technical solutions.
At Instipass (2025–present), I architect secure backend systems with Django and Django REST Framework, including streamlined student ID registration and institutional management. I design scalable database schemas and ERDs, implement authentication and authorization using OAuth, JWT, and RBAC, and optimize performance by refining database queries and asset management.
I also build user-facing institutional dashboards with HTML, CSS, JavaScript, React, and Next.js, while integrating third-party APIs to extend functionality and improve workflow efficiency. Security and production readiness are built into my process—I deploy backend services with Nginx and design architectures that stay extensible and multi-institution scalable.
Alongside backend engineering, I’m an automation engineer developing browser automation systems with Playwright and Selenium, plus scraping pipelines with BeautifulSoup4. I’ve also completed an ALX data science trainee program (Python, pandas, NumPy, scikit-learn, matplotlib) and a cybersecurity capstone where I practice exploitation and vulnerability analysis to strengthen defensive backend API security.
Experience
Work history, roles, and key accomplishments
Backend Engineer
Instipass
Jan 2025 - Present (1 year 4 months)
Architected secure backend systems for Instipass using Django and Django REST Framework to manage institutional ID registration and workflows. Built scalable database schemas and implemented OAuth/JWT-based authentication with RBAC, deploying production services with Nginx.
Data Science Trainee
ALX
Jan 2024 - Present (2 years 4 months)
Completed data science training using Python to clean, transform, and analyze datasets with pandas and NumPy. Built and evaluated machine learning models with scikit-learn and created visualizations with matplotlib to support data-driven decisions.
Education
Degrees, certifications, and relevant coursework
ALX Academy
Bachelor in Computer Science, Computer Science
2020 - 2022
Completed a Bachelor in Computer Science program at ALX Academy from 2020 to 2022.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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