Adrian Soviani

Adrian Soviani is an accomplished individual with an impressive educational background and diverse professional experience in the field of Computer Science.

Adrian pursued a Doctor of Philosophy (PhD) in Computer Science with a focus on High-Performance Computing (HPC) at Princeton University, demonstrating a commitment to advanced research and academic excellence.

Prior to his PhD, Adrian completed a Master of Engineering (M.Eng.) in Computer Science at the prestigious Massachusetts Institute of Technology (MIT), building a strong foundation in technical knowledge and practical skills.

His academic journey also includes earning a Bachelor's degree in Computer Science from MIT, showcasing a consistent dedication to expanding his expertise and understanding in the field.

In his professional career, Adrian Soviani has made significant contributions to various renowned organizations, further solidifying his reputation as a skilled professional in the tech industry.

Currently, Adrian is engaged in Project Fi within the EPC Analytics team at Google, where he applies his knowledge and experience to drive projects and initiatives related to analytics and data processing.

Prior to his role at Google, Adrian gained valuable experience as part of the High-Frequency Trading Systems team at Two Sigma Investments, showcasing his ability to thrive in dynamic and fast-paced environments.

His career journey also includes a position as an Associate in Core Strategies within the Securities Division at Goldman Sachs, where he honed his expertise in financial technologies and strategic analysis.

Before his time at Goldman Sachs, Adrian was actively involved in Research and Development focusing on Internet Topology Mapping at Akamai Technologies, highlighting his versatility in handling diverse technical challenges and projects.

Adrian Soviani's multifaceted professional background, coupled with his strong educational foundation from reputable institutions like MIT and Princeton University, positions him as a versatile and capable expert in Computer Science, analytics, and financial technologies.