Tobi Adebisi
Hi, I'm Tobi Adebisi, a Software Engineer with over 5 years of experience building scalable backend systems across Energy, Fintech, and OS-level platforms.
About
Hi, I’m Tobi Adebisi, a Software Engineer with over 5 years of experience building scalable backend systems across Energy, Fintech, and OS-level platforms. I’ve contributed to large-scale projects, including improving energy efficiency on Microsoft’s Windows platform and developing reliable financial transaction applications.
I love working with modern technologies like Java, Python, Apache Kafka, and Docker to design efficient, sustainable systems. When I’m not coding, I enjoy experimenting with new ideas and personal projects like real-time data pipelines and AI integrations. I’m passionate about creating impactful software that makes a difference!
- 7 years' experience
- Joined July 2025
Skills· 13
Languages
- EnglishFluent
Industry experience
- Software & Internet
- Financial Services
- Energy & Utilities
Work experience
Accountable for backend development of financial transaction applications serving banking and retail clients, improving processing reliability and compliance. Supported deployment of payment systems on POS terminals for 100+ financial institutions and merchants, ensuring secure and efficient operations. Designed key features for a terminal management system, boosting device oversight and reducing merchant support response times by 30%. Delivered scalable backend solutions using Java, Spring Boot, and SQL Server, with CI/CD automation via Jenkins to streamline releases.
Contributed to Microsoft’s Sustainability initiatives as part of the Windows Fundamentals team, focusing on reducing carbon emissions through OS-level improvements. Owned OS-level enhancements improving energy efficiency by 12% across targeted builds. Delivered core Windows services cutting idle power usage by 8–10%, scaling across millions of devices. Led telemetry analysis using C++, COM/WinRT, WinDbg, Python, Kusto, and Azure to drive data-backed sustainability features.
Engineered backend infrastructure for a real-time energy dashboard leveraging Apache Kafka to stream live data from smart meters; supported interface design using ReactJS. Deployed NILM disaggregation on embedded systems with Python and NILMTK, enabling 35% more granular energy insights at the appliance level. Assessed emerging IoT and LPWAN protocols, including RPMA, to enable remote diagnostics and control in energy devices and containerized solutions via Docker for seamless edge deployment.
Education
Certifications and awards
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