Parag Paul is an architect and founder with 11+ years of experience building high-performance database engines, AI systems, and hardware-accelerated data paths, currently leading an AI startup focused on hyper-quantizing LLMs/LAMs and quantum-safe, energy-efficient blockchain foundations. He drove statistics, approximate query processing, and query optimization innovations across multiple SQL Server releases and contributed to core PostgreSQL engine work at ServiceNow, with several patents and IEEE publications underpinning his research-led engineering. His background spans VLSI/RTL simulation and EDA runtime ownership at Synopsys, cloud and backend services at Microsoft (including Bing and Azure), and practical machine learning expertise from the University of Washington. Parag blends near-bare-metal performance tuning—SIMD, vectorization, FPGA/Gate-array optimizations—with higher-level AI and distributed systems design, aiming to bring intelligence as close to hardware as possible. He is completing a PhD in statistics for RDBMS systems and has a surprising side interest in theology and quantum-inspired computing approaches. Based in Seattle, he balances deep research credentials with hands-on product delivery and ongoing patent-driven innovation.
11 years of coding experience
19 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of Washington
B Tech CSE, B Tech CSE at Anna University Chennai
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Auburn University
Holy Cross College, Tripura
Post Doc Fellow Computer Science(Database), Post Doc Fellow Computer Science(Database) at Auburn University, Samuel Ginn College of Engineering
Theology Religion/Religious Studies, Theology Religion/Religious Studies at Harvard University
Official repository for the Microsoft C/C++ extension for VS Code.
Contributions:1 review, 4 comments, 1 issue in 1 day
cppvscode-extensionvscodevs-codemicrosoft
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