Sherlin Hannah Saji

I’m a results-driven Embedded Software Engineer with 4.5+ years delivering BSP customization, Linux kernel driver development, and Android platform bring-up across ARM-based SoCs. At L&T Technology Services (LTTS), I owned end-to-end feature work in the Driver Framework and Service Access Layer, drove root-cause analysis on critical defects, and ensured 100% release validation coverage before handoff to System Testing—earning Spot Awards and Star of the Month recognition through client commendation.

Earlier, at iWave System Technologies, I developed and customized Android BSPs for peripheral subsystems (Wi‑Fi, Bluetooth, Camera, HDMI) on i.MX6 and SD820, created an Android HAL layer from scratch for an ATWILL300 Wi‑Fi/BT module, and led Android Nougat bring-up and SMARC Kit releases. I also maintained device tree and driver configurations against hardware spec changes and reduced post-release defect rates by catching issues during integration and rugged testing.

Beyond embedded engineering, I’m building as a machine learning researcher and educator—currently a part-time Research Assistant for Machine Learning & Data Analytics at Kuwait University, where I developed a self-adaptive stacking ensemble pipeline for thyroid disorder classification and contribute to ongoing CNN/transformer research. I also designed and delivered Computer Science, Informatics Practices, and AI curriculum at United International Indian School, translating complex concepts into hands-on projects while reinforcing learning through structured evaluations, documentation, and knowledge transfer.