Daniel
Sunday
I build reliable backend systems and practical software tools. Focused on writing clean code, solving complex problems, and creating things that actually work.
Engineering Philosophy
Economics graduate turned software engineer. I build reliable backend systems, web applications, and practical software solutions.
Studying economics trained me to evaluate efficiency, trade-offs, and resource optimization. I apply that same analytical mindset to software engineering—focusing on backend logic, stream processing, API integrations, and building resilient systems that solve real-world problems.
I learn by diving into documentation, dissecting how systems work under the hood, and systematically debugging complex issues using real-device telemetry and data-driven insights rather than guesswork.
Toolkit
Languages
Tools
Concepts
Featured Projects
A collection of projects highlighting robust backend engineering, system automation, and Python applications.
Timeline
Career Summary
Software engineer focused on building clean, reliable, and high-performance systems using Go and Python. With a background in Economics, I bring a practical, analytical approach to problem-solving and enjoy designing scalable solutions that are efficient, maintainable, and built to last. I thrive on understanding how systems work under the hood, tackling complex backend and automation challenges, and continuously learning to build software that delivers real value.
Experience
Software Developer Fellow (Learn2Earn)
Building backend tools and structured web interfaces. Started with Go-based concurrent systems and pipeline optimization, and currently focused on Python and building foundations for AI engineering.
Education
B.Sc. Economics (Second Class Upper)
Bingham University. Completed comprehensive training in mathematical modeling, resource distribution logic, quantitative reasoning, and statistical data frameworks.
Daniel_Sunday_Resume.pdf
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