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Personal retrospective

From Science Champion to Software Architect.

Reflecting on winning the Bangabandhu National Science Fair, building Python automation at 15, and architecting real-world production platforms.

By Irfan Hasan / Backend Lead Published December 2024 / 9 min read
Early innovation Collage
FIG. 01 / Science Fair Champion
II.Article / System Map002 / 005

01. National win: Bangabandhu Innovation Fair.

At age 15, I won first place at the Bangabandhu National Science & Innovation Fair, presenting a system designed to improve local emergency communications. Designing hardware-software bridges at a young age instilled a lifelong passion for real-world automation systems.

Winning a national science champion award taught me that the best software is not the most complex, but the one that solves immediate, human problems.

02. Early code: Muktir Ghonta & Python scripts.

Following the science fair win, I built automated scripts and tools to help schools coordinate classes. This led to Muktir Ghonta—an early EdTech web interface built alongside friends to serve student assignments during local regional interruptions.

Writing script-based automations early taught me the value of clean syntax, database normalization, and runtime efficiency before moving into enterprise frameworks.

Teenage automation experiments are the sandbox of future production systems.

03. Scale milestone: handling high concurrency.

Years later, I contributed to high-throughput web systems. We scaled the platform to handle 11,000+ concurrent active users with zero marketing budget. The system’s robustness and rapid user growth led to its successful acquisition.

Optimizing API endpoints and database connection pooling under high traffic load taught me how to budget server memory resources under extreme pressure.

04. Modern scaling: architecting multi-tenant SaaS.

Today, as the Lead Developer at Kanect, I architect multi-tenant SaaS databases and Kotlin Multiplatform ecosystems. The focus remains the same: clean, performance-optimized codes that solve problems at scale without server bloatedness.