Divyesh Kapadiya
@divyeshkapadiya
Embedded software engineer specializing in Linux, drivers, and edge-AI.
What I'm looking for
I am an embedded software engineer with 1.5+ years of professional experience focused on Linux kernel, WLAN driver development, and edge-AI driven networking and embedded systems. I build and optimize low-level drivers and have hands-on experience in ML-based traffic classification and QoS optimization.
At Qualcomm and previously at Softnautics, I designed and implemented ML-based application traffic classification for intelligent QoS, developed and maintained Yocto-based BSPs, created custom Linux device drivers, and integrated multimedia pipelines using GStreamer. I routinely perform kernel and driver debugging with tools such as T32, Valgrind, and deep log analysis to deliver production-ready fixes.
I am results-oriented, skilled in C/C++ and system-level debugging, and open to global embedded and firmware opportunities with relocation. My work includes published patent activity, conference recognition in AI/ML, and hands-on mentoring and teaching in IoT and ESP32 development.
Experience
Work history, roles, and key accomplishments
Associate Embedded Engineer
Qualcomm
Mar 2025 - Present (11 months)
Implemented ML-based application traffic classification in WLAN to enable intelligent QoS and improve real-time traffic prioritization and power efficiency; optimized Wi‑Fi drivers and resolved kernel/driver issues to improve system stability and performance.
Associate Embedded Engineer
Softnautics
Dec 2023 - Jun 2024 (6 months)
Developed custom Linux device drivers and GStreamer plugins for video processing on embedded Linux, including an LCD interface driver and system-level integration work.
Education
Degrees, certifications, and relevant coursework
Dharmsinh Desai University
Bachelor of Technology, Electronics and Communication
2020 - 2024
Grade: 9.16 CGPA
Activities and societies: Worked on embedded Linux drivers, GStreamer plugins, IoT projects (ESP32), and published a patent for an IoT-based solar panel cleaning system.
Completed B. Tech in Electronics and Communication with a CGPA of 9.16, focusing on embedded systems, device drivers, and multimedia processing.
Availability
Location
Authorized to work in
Job categories
Skills
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