About

As a software engineer I thrive on building scalable solutions that make a real difference. I’ve joined HeadSpin as a Systems Software Engineer - Device Engineering, where I’m contributing to the development of cutting-edge tools for remote control and automation of mobile devices. My role involves building production-grade back-end services, automating mobile device instrumentation, and leveraging reverse engineering tools to extend the capabilities of mobile app testing and performance measurement. Previously, I was part of the founding team at Anakin, where I architected event-driven systems that handled over 150 million events monthly—a challenge that kept me excited every day. I’ve had the privilege of designing data pipelines that process massive datasets, developing ML models that boost user engagement, and creating visualization solutions that help teams make better decisions. From increasing API performance by 30% to reducing defect resolution time by 40%, I focus on delivering tangible results. My technical journey spans cloud platforms (AWS, GCP, Azure), machine learning frameworks (TensorFlow, scikit-learn), and modern backend technologies (FastAPI, Django). I’m particularly proud of being recognized as Engineer of the Quarter at Anakin and ranking in the global top 100 in the AWS DeepRacer Student League. At HeadSpin, I’m applying my expertise in operating systems, networks, and backend development (Python, Go) to push the boundaries of mobile device automation and testing. I’m also leveraging my experience with reverse engineering tools like Hopper, IDA Pro, and Ghidra to understand and innovate within proprietary device ecosystems. I believe in building systems that not only work efficiently but are also maintainable and scalable. Whether it’s processing 100s of GBs of data or architecting event-driven systems, I enjoy tackling complex problems and turning them into elegant solutions. Currently, I’m exploring new frontiers in AI-powered applications while continuing to strengthen my expertise in distributed systems and machine learning. I’m always eager to connect with fellow engineers and technologists who share my enthusiasm for pushing the boundaries of what’s possible with technology. Let’s connect and collaborate on building the future of software and AI!