Reza Zamani

Data Analyst

https://talent.gravityer.com/reza-zamani

Building Supercomputers at OpenAI

OpenAI

Key Strengths

Extensive experience in high-performance computing, machine learning, and data analysis from roles at Intel and Quantcast.
Strong academic background with a Ph.D. in Electrical and Computer Engineering, indicating a solid theoretical foundation.
Experience with large-scale systems and infrastructure at companies like OpenAI and Meta, which often involves significant data analysis.
Proficiency in SQL, a core skill for Data Analysts, as noted in Meta and Quantcast roles.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate has a diverse background working at prominent tech companies (OpenAI, Meta, Intel, Quantcast) and in academia. While the experience is heavily skewed towards software engineering, machine learning, and hardware systems, the 'Data Analyst' target role represents a shift. The breadth of experience suggests an ability to adapt to different technical environments. However, the direct alignment with typical data analyst responsibilities (e.g., dashboarding, A/B testing, business intelligence) is not explicitly detailed, which might impact cultural fit for a pure data analyst role.

Soft Skills & Operational Fit

The candidate's resume indicates experience in both individual contributor (Software Engineer, Member of Technical Staff) and leadership (Engineering Manager, Teaching Fellow) roles, suggesting adaptability. The Ph.D. research and roles at Intel imply strong analytical and problem-solving skills. However, specific soft skills like teamwork, communication, and stress handling cannot be directly assessed without psychometric test results or interview data.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Top Skills

SQLTerraformEmbedded SystemsMatlabC++High Performance ComputingAlgorithmsSignal ProcessingC++ProgrammingComputer ScienceFirmwareData MiningMPILinuxMathematical ModelingMysqlStatisticsShell ScriptingMultithreadingPHPHTMLOpenMPLinux KernelMachine Learningparallel-processinglatexTestingSensorsComputer ArchitectureDistributed SystemsAlgorithm DesignParallel ComputingOptimizationPerlSoftware EngineeringLinux Server AdministrationPerformance TuningProfilingDspTime Series AnalysisJavaPython

Skills

Education

Queen's University

Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering

January 1, 2012 – Present

Queen's University

Master of Science (M.Sc.), Electrical and Computer Engineering

January 1, 2005 – Present

Sharif University of Technology

Bachelor of Science (B.Sc.), Electrical Engineering

January 1, 1998 – January 1, 2002

Experience

OpenAI

Member of Technical Staff

May 1, 2023 – Present

San Francisco Bay Area

Key Strengths

Extensive experience in high-performance computing, machine learning, and data analysis from roles at Intel and Quantcast.
Strong academic background with a Ph.D. in Electrical and Computer Engineering, indicating a solid theoretical foundation.
Experience with large-scale systems and infrastructure at companies like OpenAI and Meta, which often involves significant data analysis.
Proficiency in SQL, a core skill for Data Analysts, as noted in Meta and Quantcast roles.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit