Aug 2022 – Jul 2023 · 11 mos · Bengaluru, Karnataka, India · Hybrid

• As a Software Engineer at Maxlinear, I spearheaded firmware and driver development for advanced WiFi solutions, focusing on WiFi 6/6E/7 features in high-performance Access Points. My work involved in-depth development on the Linux stack, particularly leveraging OpenWRT for cutting-edge home gateway routers. I played a pivotal role in certification processes, ensuring adherence to 802.11 standards and enhancing router capabilities through innovative feature integration. My efforts in debugging complex driver-level software contributed to significant improvements in system stability and performance. This experience honed my expertise in embedded C/C++ and deepened my understanding of network protocols, cementing my proficiency in developing scalable solutions for modern wireless communication needs.

Sep 2021 – Jan 2022 · 4 mos · Bengaluru, Karnataka, India

• During my time at Trachealth Technologies, I developed a prototype non-contact stethoscope using microcontrollers and interfacing technology, which expanded the company’s innovative healthcare solutions. Working with Raspberry Pi Pico and Pi-4, I engineered embedded software in C and Python using the Pico SDK for seamless signal processing and interfacing. My proactive approach enabled smooth integration of hardware and software, optimizing the system’s performance for non-invasive medical assessments. This project solidified my abilities in embedded systems and IoT device development, demonstrating my potential to contribute impactful solutions in tech-driven health initiatives.

Jul 2021 – Oct 2021 · 3 mos · Bengaluru, Karnataka, India · Remote

• At SPIRE Labs, I contributed to advanced research by processing multi-channel audio data for machine learning applications. I applied MATLAB for data pre-processing using various filters and implemented models like Non-negative Matrix Factorization (NMF) to assess the impact of data modifications on analytical outcomes. This role enhanced my skills in signal processing and provided valuable insight into machine learning methodologies. My work helped in refining data processing techniques, which played a part in more reliable analysis for lab research.