Reza Vaghefi
Verified Expert in Engineering
Machine Learning Developer
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.
Portfolio
Experience
Availability
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
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.
Machine Learning Consultant
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.
Senior Software Engineer
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.
Research Assistant
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.
Experience
基于卫星图像的目标检测与分类
RStudio Shiny App for Pooling Data
ArityCode
http://www.aritycode.com/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
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
LANL—Earthquake Project
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.
Skills
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
Education
电气与计算机工程博士学位
Virginia Tech - Blacksburg, VA
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