Summary
Parika Goel is a Senior Lead Software Engineer with 8 years of experience building high-performance, system-level software across AI, computer vision, medical imaging, and embedded camera stacks. Currently at Qualcomm, she designs cloud frameworks to run Generative AI and large-language-model inference efficiently—bringing uncommon edge-device considerations to cloud-scale deployment. Her background includes leading end-to-end NeRF and SLAM pipelines for 3D reconstruction at Avataar and Artisense, and redesigning extensible ultrasound processing systems at Brainlab, showcasing a blend of deep algorithmic knowledge and pragmatic architecture skills. Comfortable in C++17/C++14, Python, driver-level Linux work, and ML model pipelines, she bridges hardware constraints and software design to ship production-ready systems. Trained at TUM (MSc Informatics) and NIT, she pairs strong academic grounding with hands-on optimization experience, often focusing on throughput, memory efficiency, and real-world integration challenges.
8 years of coding experience
7 years of employment as a software developer
B.Tech Computer Science, B.Tech Computer Science at Dr. B. R. Ambedkar National Institute of Technology (NIT), Jalandhar
Bachelor of Engineering (B.E.) Computer Science, Bachelor of Engineering (B.E.) Computer Science at National Institute of Technology Jalandhar
Master of Science Informatics, Master of Science Informatics at Technical University of Munich, Germany
English, Hindi, German