1. Engineered router and bridge products with OpenEmbedded, Yocto. Engineered cable modem applications with C and modified some JavaScript and XML. 2. Built customized WebUI. (JavaScript and XML) Developed networking features. (e.g. Firewall, DHCP, DNS, WiFi Mode and WiFi BandSteering) 3. Developed on Intel and Broadband platform. (RDK-B and TR-69) 4. Built software on linux-based operating systems and delivered software (released NOR and NAND flash image) to our factory and customers. 5. Documented and demonstrated solutions by developing the documentation, code comments and clear code on the company's JIRA and Confluence. 6. Developed code to capture the issues when our product assurance team, FAE and customers are using our products and send us a detailed report with all the necessary information. 7. Cooperated with Brazil FAE to identify the issues and keep up-to-date the new request to ensure on-time project completion. 8. Migrated Maxlinear codebase

1. Engineered Android mobile phone, IoT smart watch, tracker and AR/VR display products with C, Shell Script and Python. 2. Display driver IC porting on MTK and Qualcomm platforms. 3. Developed customized handmade OLED display driver IC code in SONY unique platform. (SPRESENCE) 4. Developed framework and applications code in RTOS. 5. Developed code to run monkey script (Python) for the product assurance team to capture the issues. 6. Document and demonstrated APIs in RTOS by developing the documentation (Doxyfile) with Doxygen. 7. Built CI/CD for project to maintain codebase with Jenkins and Gerrit server. 8. Migrated SONY Sweden team’s codebase to their Github for joined development SDK project.

1. Performed quantitative analysis to diagnosis and evaluation of Alzheimer's disease, then led a project to design and implement in CGITA; added additional automatic brain segmentation techniques and 3D wavelet algorithm for feature extraction at target brain area. 2. Developed a strategy for early detection of Alzheimer's disease by applying the development of automatic diagnosis tools. Resulted the performance of the developed wavelet-based texture analysis for evaluating Alzheimer's.