Reza Vaghefi，美国加利福尼亚州坎贝尔的开发人员
Reza is available for hire
Hire Reza

Reza Vaghefi

Verified Expert  in Engineering

Machine Learning Developer

Location
Campbell, CA, United States
Toptal Member Since
February 3, 2022

Reza拥有电气和计算机工程硕士和博士学位. 作为一名在机器学习和数据分析方面拥有十多年经验的专业人士, 他擅长不同的编程语言，比如Python, R, C, C++, and MATLAB. Reza在软件工程、算法和数据结构方面有很强的背景.

Machine LearningData AnalysisData VisualizationDeep LearningData AnalyticsData ScrapingMetricsAlgorithmsComputer VisionWeb ScrapingArtificial Intelligence (AI)Back-end DevelopmentAnalyticsNatural Language Processing (NLP)Data Mining

Portfolio

Qualcomm
c++，算法，数据分析，云，Pandas, NumPy, Perforce, Scikit-learn...
Self-employed
人工智能，机器学习，PyTorch, TensorFlow...
Blue Danube Systems
Python, MATLAB，仿真，随机森林，强化学习...

Experience

Python - 10 yearsData Analysis - 10 yearsMachine Learning - 10 yearsDeep Learning - 8 yearsSoftware Engineering - 7 yearsData Structures - 7 yearsAlgorithms - 7 yearsC++ - 7 years

Availability

Part-time

Preferred Environment

Spyder, Linux, Git, Jupyter Notebook, Windows, Data Modeling, Visual Studio Code (VS Code)

The most amazing...

...我做过的一件事就是带领一群工程师，开发出了一个被很多人使用的产品.

Work Experience

Senior Staff Software Engineer

2019 - PRESENT
Qualcomm
  • 使用Jenkins和Python开发自动化管道来运行连续模拟, process and clean results, 使用Python API存储在SharePoint和MySQL中, and visualize results using Plotly.
  • 创建并适应复杂的机器学习算法, models, 框架与产品建议或路线图保持一致.
  • 使用Jira作为报告工具跟踪和修复bug. 通过找到复杂问题的根本原因，提高了调试和研究技能.
  • 启用并优化了最先进的神经网络模型，以满足客户实际用例的需求.
  • 开发创新的数据分析和可视化工具.
Technologies: c++，算法，数据分析，云，Pandas, NumPy, Perforce, Scikit-learn, Ggplot2, Ubuntu Linux, C, Plotly, Tidyverse, Keras, Eclipse, Bash, Shell, Data Mining, Data Modeling, Data Analytics, Data Visualization, Python, Git, Model Development, GitHub API, GitLab CI/CD, APIs, Java, REST APIs, Architecture, Integration, GitHub, Amazon Web Services (AWS), Microservices, Databricks, Visualization, Back-end, Back-end Development, FastAPI, Data Pipelines, CSV, Excel 365, Reports, Metrics, Statistical Modeling, GDB, CMake, Data Transformation, SharePoint, ETL, Azure, Analytics, Selenium

Machine Learning Consultant

2015 - PRESENT
Self-employed
  • Deployed machine learning code, models, 管道投入生产，并解决出现的问题.
  • 从头开始建立了一流的机器学习平台, 哪一个有助于管理整个模型生命周期, including feature engineering, model training, evaluation, versioning, deployment, online serving, and monitoring prediction quality.
  • 采用机器学习和统计建模技术, such as decision trees, logistic regression, Bayesian analysis, 和神经网络开发和评估算法，以提高产品和系统的性能, quality, and accuracy.
Technologies: 人工智能，机器学习，PyTorch, TensorFlow, Generative Pre-trained Transformers (GPT), Natural Language Processing (NLP), GPT, SQL, Recommendation Systems, Data Science, SciPy, Deep Reinforcement Learning, Neural Networks, RStudio Shiny, Computer Vision, Data Visualization, Dashboards, Data Scraping, Model Development, GitHub API, Amazon EC2, Google Sheets, Google Cloud Platform (GCP), Image Generation, JavaScript, REST APIs, API Integration, Transformers, Recurrent Neural Networks (RNNs), Large Language Models (LLMs), ChatGPT, Generative Adversarial Networks (GANs), Architecture, Integration, GitHub, Amazon Web Services (AWS), Microservices, Databricks, Visualization, LSTM, BERT, FastAPI, Django, Node.js, Data Pipelines, CSV, Excel 365, Reports, Metrics, Statistical Modeling, 生成式人工智能(GenAI), Data Transformation, SharePoint, Language Models, Prompt Engineering, ETL, OpenAI, Azure, Time Series, OpenAI GPT-4 API, OpenAI GPT-3 API, AI Programming, Software Architecture, Analytics, Reporting, Selenium

Senior Software Engineer

2015 - 2019
Blue Danube Systems
  • 创建了一个基于flash的web应用程序来模拟用户在蜂窝系统中接收到的信号，并在谷歌地图上可视化数据.
  • 在Cpp和MATLAB中设计并开发了复杂无线网络仿真软件.
  • 开发了深度强化学习模型和深度神经网络, including Graph NN, CNN, RNN, and attention and transformer.
  • 设计并开发了一个自动化管道来提取用户和网络kpi, store data in a MySQL server, preprocess in Python, and visualize the results in Tableau.
Technologies: Python, MATLAB，仿真，随机森林，强化学习, Deep Learning, R, Docker, PySpark, Tableau, GitHub API, GitLab CI/CD, Google Sheets, APIs, HTML, CSS, API Integration, Large Language Models (LLMs), GitHub, Amazon Web Services (AWS), Visualization, LSTM, Back-end Development, CSV, Excel 365, Reports, Metrics, Statistical Modeling, Data Transformation, ETL

Research Assistant

2011 - 2014
Virginia Tech
  • 开发了一个前馈神经网络模型，利用到达时间数据预测用户的位置.
  • 将所提出的模型与基于均方根误差(RMSE)的运行时间和性能的最新解决方案进行比较。.
  • 使用Flask开发了一个web应用程序，比较不同机器学习模型对Node的预测.js localization based on user input data.
Technologies: Artificial Intelligence (AI), Machine Learning, Optimization, Scraping, Web Scraping, Large Language Models (LLMs), GitHub

基于卫星图像的目标检测与分类

我创建了一个端到端的计算机视觉模型来检测和分类卫星图像. Also, 我实现了专门的预处理和后处理技术来处理大型卫星图像. 整个管道是使用PyTorch和TensorFlow库在Python中开发的.

RStudio Shiny App for Pooling Data

我创建了RStudio Shiny应用程序，用于可视化和分析投票数据. 该应用程序涉及密集的数据处理和分析. 该管道还包括从SurveyMonkey api提取调查数据和从SPSS加载数据.

ArityCode

http://www.aritycode.com/
该网站提供了一个平台，帮助人们学习编码和解决问题.

我使用Python创建了这个基于Flask的web应用程序. 它有MySQL和MongoDB两个数据库来存储用户信息, 它捕获了用户和编码环境之间的交互.

Indoor Location and Navigation

一种W-KNN模型，利用接收到的信号强度测量来预测手机在室内的位置.

我使用了不同的距离度量，比如欧几里得, correlation, 和布雷-柯蒂斯，并创建了一个二次优化问题，以提高利用传感器数据的位置估计精度.

NFL 1st and Future—Impact Detection

开发了一种计算机视觉模型，可以自动检测头盔对场地的影响. 开发并比较了基于YOLO和Faster R-CNN的两种目标检测模型，看图像中的头盔检测. 采用后处理技术去除假阳性检测，提高F1分数.

LANL—Earthquake Project

它根据实时地震数据预测实验室地震发生前的剩余时间. 数据是实验信号的单个连续片段.

我从时间序列信号中提取了许多特征，并开发了一个增强树来预测地震的时间.

Languages

Python, R, c++， SQL, C, Bash, HTML, CSS, Java, JavaScript

Frameworks

RStudio Shiny, Selenium, Flask, Hadoop, LightGBM, Django

Libraries/APIs

PyTorch, TensorFlow, Pandas, NumPy, Scikit-learn, Ggplot2, Tidyverse, Keras, SciPy, GitHub API, LSTM, PySpark, REST APIs, Node.js

Tools

Spyder, Git, Perforce, MATLAB, Plotly, Tableau, Google Sheets, GitHub, Shell, GitLab CI/CD, GDB, CMake

Paradigms

Data Science, ETL, REST, Microservices

Platforms

Windows, Ubuntu Linux, Amazon Web Services (AWS), Eclipse, Jupyter Notebook, Amazon EC2, SharePoint, Docker, Databricks, Linux, Visual Studio Code (VS Code), Google Cloud Platform (GCP), Azure

Storage

数据管道，MySQL, MongoDB, PostgreSQL

Other

Machine Learning, Data Analysis, Statistics, Probability Theory, Algorithms, Data Structures, Natural Language Processing (NLP), Computer Vision, Simulations, Deep Learning, Optimization, Scraping, Web Scraping, Artificial Intelligence (AI), Neural Networks, Data Mining, Data Modeling, Data Analytics, Data Visualization, Dashboards, Data Scraping, Model Development, APIs, Architecture, Integration, Visualization, BERT, Back-end, Back-end Development, CSV, Excel 365, Reports, Metrics, Statistical Modeling, Data Transformation, Language Models, Analytics, Software Engineering, System Design, Cloud, Random Forests, Recommendation Systems, Deep Reinforcement Learning, Object Detection, Convolutional Neural Networks, Time Series Analysis, Research, GPT, Generative Pre-trained Transformers (GPT), Image Generation, API Integration, Transformers, Recurrent Neural Networks (RNNs), Large Language Models (LLMs), ChatGPT, Generative Adversarial Networks (GANs), FastAPI, 生成式人工智能(GenAI), Prompt Engineering, OpenAI, Time Series, OpenAI GPT-4 API, OpenAI GPT-3 API, AI Programming, Software Architecture, Reporting, Reinforcement Learning

2011 - 2014

电气与计算机工程博士学位

Virginia Tech - Blacksburg, VA

2008 - 2011

电子与计算机工程硕士学位

查尔姆斯理工大学-哥德堡，瑞典