# Deepak Nagawade > Samsung Location: San Francisco Bay Area, United States Profile: https://flows.cv/deepaknagawade WLAN Software Engineer specializing in embedded systems, protocol development, and the integration of AI/ML frameworks at the network edge.I bring a comprehensive understanding of all layers of the Wi-Fi stack. With extensive experience in low-level C++ development, I have successfully engineered complex wireless solutions that balance extreme performance requirements with the physical constraints of embedded hardware. My background covers everything from raw signal metrics and MAC layer timing to upper-layer data routing and system architecture.Currently, my technical focus is on bringing intelligence to the edge. I leverage my deep expertise in C++ and embedded systems to integrate, optimize, and deploy machine learning models that enhance wireless performance in real-time. Whether it is implementing predictive algorithms for smarter access point selection, or optimizing AI inference engines to run seamlessly on constrained device chipsets, I build the low-level software that makes hardware smarter, faster, and more resilient.Specialties: Wireless firmware development, Smart card operating system, Wireless technologies, C, protocol developementProfessional competencies:Design, develope, optimize, debug, test and commercialize Wifi (802.11) firmware, ARM architecture, protocol developement, RTOS, C programming, techniques to optimize and meet key performance indicators, power and throughput for connectivity solution in comparison to competitors. Hardware abstraction layer (HAL) to provide bare metal API's for medium access layer (MAC), Encryption and power management unit.Skills:Architect | System Design | Embedded Systems | RTOS | C | C++ | ADB | Wi-Fi | ShellWireless Networking | Protocol Development | Data Structures | Algorithms | Power OptimizationThermal Management | Code Optimization | Debugging | Chip Bring-Up | RUMI/Palladium Scripting ## Work Experience ### Staff Software Engineer @ Samsung Semiconductor US Jan 2023 – Present | San Jose, California, United States • Own connectivity-critical firmware components forming the foundation of Wi-Fi functionality across control and data planes. • Designed and implemented MLO features, including link selection, TID-to-link mapping, link mapping, and rTWT. • Implemented single-link eMLSR, enabling efficient multi-link operation on single-radio platforms. • Built robust state machines and control flows to handle real-world congestion, roaming, and power-transition scenarios. • Led datapath debugging and optimization in high-congestion environments during product ramp. • Partnered with hardware and platform teams to debug cross-layer connectivity issues spanning firmware and system behavior. • Resolved Wi-Fi 6E commercialization issues for Galaxy S25FE, enabling successful mass production. • Lead Wi-Fi 7 (802.11be) firmware development and commercialization for Samsung flagship Galaxy devices (S25 / S25+ / S25 Ultra). ### Staff Software Engineer @ Qualcomm Jan 2019 – Jan 2023 | San Francisco Bay Area • Designed and implemented Wi-Fi power-save protocols for 802.11ax and early 802.11be mobile chipsets. • Developed power-aware connectivity algorithms balancing performance, reliability, and energy efficiency. • Designed adaptive Wi-Fi Calling power-save mechanisms using cellular feedback, achieving ~20% power reduction while maintaining voice quality. • Built MLO link-selection algorithms based on reliability, congestion, power profile, and throughput needs. • Implemented eMLSR entry, transition, and link-selection logic aligned with IEEE 802.11be standards. • Optimized HAL sleep-to-wake and wake-to-sleep paths, improving end-to-end connectivity responsiveness. • Collaborated across firmware, hardware, and platform teams to resolve complex, multi-component connectivity issues. • Implemented Always-ON TWT, improving Wi-Fi power savings by ~25%. • Collaborated across firmware, hardware, and platform teams to resolve complex, multi-component connectivity issues. ### Senior Software Engineer @ Marvell Semiconductor Jan 2014 – Jan 2019 | Santa Clara, CA Architected, designed and implemented Hardware abstraction layer (HAL) module of security, MAC and power save. CCMP and GCMP crypto validation using inline and non-inline encryption engine. Bare metal API's development. Proposed and implemented adaptive wakeup for beacon algorithm at protocol layer helped to get best current consumption numbers in IEEE PS. Designed and implemented thermal management to manage chip temperature using SW provisions. Work on creating validation plan, SW development of validation plan and coordinated efforts with other teams. Work with HW team on pre silicon validation and provide inputs to HW team for changing SW demands and align chip design. Coordinated debug effort to give debug direction to HW team based on SW experiments. SW fragmentation and MPDU buffer optimizations inside FW covering all AMSDU packet sizes. Filed patents in IEEE Power save and thermal management areas. ### Senior Software Engineer @ Marvell Semiconductor Jan 2008 – Jan 2014 Working as wireless firmware and driver developement engineer. Expertise in IEEE power save, WifiDirect etc. Contributed to Wi-Fi Direct Protocol project from the specification discussions, implementation interop events (plugfests) and implementation phase to productization phase of this project. Implemented all major features of this project which includes P2P device discovery, group formation to power save support. The design of this protocol has been done in three ways as per customer requirements. ## Education ### Mtech in Computer science and engineering Indian Institute of Technology, Kanpur ### BE in Computer Architecture, Data streaming systems COEP Technological University ## Contact & Social - LinkedIn: https://linkedin.com/in/deepak-nagawade --- Source: https://flows.cv/deepaknagawade JSON Resume: https://flows.cv/deepaknagawade/resume.json Last updated: 2026-04-12