Behrang Koushavand, Developer in Calgary, AB, Canada
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Behrang Koushavand

Verified Expert  in Engineering

Machine Learning Developer

Location
Calgary, AB, Canada
Toptal Member Since
July 6, 2022

Behrang is a geo-statistician, data scientist, and professional engineer with 10+ years of industry experience. 他对多元统计和行业规模优化算法有深入的了解, classical machine learning, deep learning, and computer vision. Behrang参加了30多场Kaggle比赛，对不同类型的数据和ML算法有丰富的经验.

Artificial Intelligence (AI)Linear RegressionAlgorithmsMachine LearningComputer VisionDeep LearningLarge Language Models (LLMs)Visual Basic for Applications (VBA)FortranKerasPython 3TensorFlowScikit-learnDelphiLinear Programming3D Modeling SoftwareLightGBMCPLEXTkinterCNNPyMongoAutoML

Portfolio

ShotBot Inc.
人工智能，计算机视觉，机器学习，深度学习
NielsenIQ
亚马逊网络服务(AWS)、地理空间数据、地理空间分析、Python、SQL...
Cenovus Energy
Azure, Databricks, PySpark，计算机视觉，Python, SQL, NoSQL, MongoDB...

Experience

Machine Learning - 10 yearsDeep Learning - 5 yearsTensorFlow - 5 yearsComputer Vision - 5 yearsPython 3 - 5 yearsScikit-learn - 5 yearsGPT - 3 yearsNatural Language Processing (NLP) - 3 years

Availability

Part-time

Preferred Environment

Python 3, Fortran, Azure, Amazon Web Services (AWS), Python, Keras

The most amazing...

...我取得的成就是获得了计算机视觉在油气储层表征中的应用专利.

Work Experience

AI Consultant

2023 - PRESENT
ShotBot Inc.
  • 训练了多个模型，并微调了工作流程，从用户图像中生成专业的头像.
  • 回顾文章，当前进展和最先进的技术. 提出了一种新的工作流程，与现有的商业解决方案相比，效果更好.
  • 建立工作流程，提出运营和商业化过程所需的基础设施.
技术:人工智能(AI)，计算机视觉，机器学习，深度学习

Senior Principal Data Scientist

2022 - PRESENT
NielsenIQ
  • 参与了与地理空间数据分析项目相关的各种高级分析项目, route-to-market, and precision.
  • 利用线性优化技术实现了一种新的销售分配方法.
  • 实现了对现有各种代码的并行编程，提高了现有方法的效率.
Technologies: 亚马逊网络服务(AWS)、地理空间数据、地理空间分析、Python、SQL, PySpark, GIS, Parallel Programming, Spark, ETL, Apache Spark, Data Engineering, Pandas, Data Wrangling, Datasets, Matplotlib, ChatGPT, OpenAI, OR-Tools, Consulting, Minimum Viable Product (MVP), APIs, Python 3, Git, Scikit-learn, Azure, GeoPandas, CPLEX, Integer Programming, Optimization, Databricks, Artificial Intelligence (AI), Convex Optimization, Optimization Algorithms, GitHub, Large Language Models (LLMs), LangChain, Image Recognition, QGIS, Satellite Images

Machine Learning Engineer and Data Scientist

2020 - PRESENT
Cenovus Energy
  • Developed several ML algorithms and shiny apps deployed to RS-connect, including a deep learning model to classify valid DTS shut-in, linear failure analysis, and predictions of the depth of geological formations using CNN.
  • Supervised a data science co-op student on various projects.
  • 共同指导阿尔伯塔大学的一名硕士生使用机器学习方法从数据中预测空间连续性参数.
Technologies: Azure, Databricks, PySpark，计算机视觉，Python, SQL, NoSQL, MongoDB, Facial Recognition, Keras, Convolutional Neural Networks (CNN), Object Detection, Cloud Infrastructure, GPT, Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), Artificial Intelligence (AI), Machine Learning, Visual Basic for Applications (VBA), Linear Regression, Linear Optimization, Parallel Programming, Git, Scikit-learn, GeoPandas, Geology, Tkinter, AutoML, TensorFlow, Algorithms, Data Science, Cloud, Neural Networks, ETL, Apache Spark, Data Engineering, Image Processing, 3D Image Processing, Pandas, Docker, Data Wrangling, Datasets, Simulations, Physics Simulations, User Interface (UI), Matplotlib, GitHub, 3D, OR-Tools, Minimum Viable Product (MVP), Python 3, Deep Learning, Geospatial Analytics, Engineering, GPU Computing, Graphics Processing Unit (GPU), NVIDIA CUDA, Image Recognition, Large Language Models (LLMs), LangChain, OpenAI GPT-3 API, OpenAI GPT-4 API, Generative Pre-trained Transformer 3 (GPT-3), Azure ML Studio, Point Clouds

Python and AI Developer

2023 - 2023
Syngenta - Cloud Compute
  • Integrated computer vision into the internal chatbot, enabling users to import images and ask related questions. Deployed multiple endpoint APIs to Sagemaker for enhanced functionality.
  • Built a web scraper for the knowledge base, answered queries using relevant articles, and raised tickets with Selenium, enhancing user support and information access.
  • Incorporated a data chat feature into the company's internal chatbot. 用户可以导入多个数据文件(CSV, Excel)，并提出复杂的问题进行高级分析.
Technologies: Python, Artificial Intelligence (AI), Frameworks, Azure, Machine Learning, OpenAI, Amazon SageMaker, TensorFlow, PyTorch, Selenium, LangChain, OpenAI GPT-3 API, OpenAI GPT-4 API, Generative Pre-trained Transformer 3 (GPT-3), You Only Look Once (YOLO)

AI Developer

2023 - 2023
Zebra Analytics, LLC
  • Trained for TensorFlow to detect different elements from the plan.
  • Deployed a model to the GCP server for training and inference.
  • 使用Flask创建了一个web应用，并将其与Docker容器一起部署到GCP VM中.
  • Helped and mentored a client with their first cloud solution (GCP).
  • Wrote 8 Jupyter notebooks to pre-process the images, train the models, 并评估结果和一个独立的笔记本电脑，以对新数据进行推断.
  • 帮助客户收集数据并对其进行注释，以实现他们的目标.
Technologies: Artificial Intelligence (AI), Generative Adversarial Networks (GANs), Convolutional Neural Networks (CNN), Algorithms, OR-Tools, Optimization, Optimization Algorithms, Python, Neat, Generative Design, Python 3, TensorFlow, Git, Computer Vision, Deep Learning, Keras, Object Detection, Cloud Infrastructure, Google Cloud Platform (GCP), GPU Computing, Google Cloud, Cloud, Image Processing, Docker, User Interface (UI), GitHub, Graphics Processing Unit (GPU), Vertex, NVIDIA CUDA

AI Developer

2023 - 2023
Zebra Analytics, LLC
  • 回顾了有关生成计划和布局生成的文献，并设计了现成的临时解决方案.
  • 使用公开可用的训练模型对自定义数据进行两个推断.
  • Provided a plan for the next step, guided the customer on how to label their data, and helped them prepare their custom dataset for the next step.
Technologies: Artificial Intelligence (AI), Generative Adversarial Networks (GANs), Convolutional Neural Networks (CNN), Algorithms, OR-Tools, Optimization, Optimization Algorithms, Python, Neat, Generative Design, Python 3, TensorFlow, Computer Vision, Consulting, Graphics Processing Unit (GPU), Vertex, NVIDIA CUDA, Image Recognition, OpenCV

AI Specialist

2023 - 2023
Oluwadolapo Obatoyinbo
  • 为客户定义了人工智能和计算地球科学软件原型的几个项目，并编写并解释了每个步骤. 协助客户收集数据，为下一步做准备.
  • Prepared documents and communicated several technical details.
  • 向团队展示了清晰的工作范围，并指导他们完成不同的技术流程.
Technologies: Datasets, Machine Learning, Deep Learning, Simulations, Physics Simulations, 3D Modeling, Consulting

Geo-statistician and Machine Learning Engineer

2012 - 2020
Husky Energy
  • 使用经典机器学习算法和深度学习框架开发了几种地下数据预测模型.
  • Filed two patents—one has been granted, and the second is in process.
  • 领导一个由四名技术人员组成的团队，开发用于资源估计和预测的框架和仪表板.
  • 建立三维数值模型，进行储层表征和不确定性分析.
  • Taught several machine learning courses in the company.
  • Received the best presentation award at the Husky tech forum. Presented three new workflows and ML models on subsurface data.
Technologies: R, TensorFlow, Azure, PySpark, PyTorch, Python, SQL, Facial Recognition, Keras, Convolutional Neural Networks (CNN), Object Detection, Amazon Web Services (AWS), Cloud Infrastructure, Google Cloud Platform (GCP), Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), GPT, Artificial Intelligence (AI), Machine Learning, Visual Basic for Applications (VBA), Linear Regression, Linear Optimization, Parallel Programming, Git, Scikit-learn, GeoPandas, Geology, Tkinter, Computer Vision, Algorithms, Data Science, Team Leadership, Cloud, Neural Networks, Pandas, Data Wrangling, Datasets, Simulations, Physics Simulations, User Interface (UI), GitHub, 3D, OR-Tools, Minimum Viable Product (MVP), 3D Modeling, 3D CAD, Python 3, Deep Learning, Integer Programming, Optimization, Geospatial Analytics, Engineering, GPU Computing, GIS, Graphics Processing Unit (GPU), Image Recognition, OpenCV, Writing & Editing, Digital Elevation Models, Satellite Images, Point Clouds

Research Assistant

2007 - 2012
University of Alberta
  • 开发了一种新的工作流程来测量长期生产优化中的地质不确定性，并发表了多篇相关论文.
  • 发表了几篇关于采矿和油气工程地质统计方法的同行评审和会议论文.
  • 在几门大学课程中担任助教，包括储备估算方法.
  • Acted as a software developer for Newmont Mining Corp, Denver, USA.
Technologies: Research, Programming, R, MATLAB, Python, Fortran, Data Science, Geology, Engineering, Linear Programming, Parallel Programming, Algorithms, Pandas, Algebra, Convex Optimization, Optimization Algorithms, Data Wrangling, Datasets, Simulations, Physics Simulations, OR-Tools, 3D Modeling, 3D CAD, Integer Programming, Optimization, Artificial Intelligence (AI), Graphics Processing Unit (GPU), Writing & Editing

Rock Permeability Prediction Using Computer Vision

http://patents.justia.com/patent/11182890
我开发了一个使用岩石照片和计算机视觉来估计渗透率比的工作流程. I simulated a lot of synthetic images and trained a deep learning model.

后来，我为公司的所有用户开发了一个独立的应用程序.

This workflow has been patented.

Computer Vision to Detect Reservoir Changes

http://patents.justia.com/patent/20210080607
我开发了一个框架，利用四维地震数据自动检测储层随时间的变化. In this project, a 2.开发了5D图像分割框架，以检测三维油藏随时间的变化.

This is a pending patent.

考虑输入不确定性的生产优化线性规划模型

http://www.sciencedirect.com/science/article/pii/S2095268614000792
我开发了一种技术，在不确定性和库存存在的情况下，使长期生产计划的净现值最大化. The model was a mixed-integer linear optimization problem. A paper was published on the topic.

Kaggle Competitions

http://www.kaggle.com/behrang
I have been involved in some Kaggle competitions. I have achieved Kaggle Master and was part of the top 10%.

Some of the competitions were:

•网站报价转换:哪些客户将购买报价保险计划?
•罗斯曼商店销售:使用商店、促销和竞争对手数据预测销售
• Google Landmark Retrieval $ Recognition 2020
hubmap -入侵肾脏:识别人类肾脏组织图像中的肾小球
-The Winton Stock Market Challenge
g2net引力波探测:从双黑洞碰撞中发现引力波信号
2007 - 2012

PhD in Geo-Statistics

University of Alberta - Edmonton, AB, Canada

DECEMBER 2014 - PRESENT

Professional Engineer (PENG)

阿尔伯塔专业工程师和地球科学家协会(APEGA)

Libraries/APIs

TensorFlow, Scikit-learn, Keras, XGBoost, CatBoost, Pandas, Matplotlib, PySpark, PyTorch, PyMongo, OpenCV

Tools

MATLAB, Git, CPLEX, AutoML, GitHub, AutoCAD, You Only Look Once (YOLO), GIS, ChatGPT, Amazon SageMaker, Azure ML Studio

Frameworks

LightGBM, Apache Spark, Spark, Selenium

Paradigms

线性编程，数据科学，并行编程，面向对象编程(OOP)， ETL

Languages

Python 3, Fortran, Delphi, Python, Visual Basic for Applications (VBA)， R, SQL, C

Storage

MySQL, NoSQL, MongoDB, Google Cloud

Platforms

Azure, Databricks, Amazon Web Services (AWS), Google Cloud Platform (GCP), NVIDIA CUDA, H2O Deep Learning Platform, Docker

Other

Computer Vision, Geology, Tkinter, Machine Learning, Deep Learning, Integer Programming, Optimization, Geospatial Analytics, Engineering, Facial Recognition, Convolutional Neural Networks (CNN), Object Detection, Artificial Intelligence (AI), Linear Regression, Linear Optimization, University Teaching, Algorithms, Neural Networks, 3D Image Processing, Datasets, Generative Pre-trained Transformers (GPT), Large Language Models (LLMs), LangChain, GeoPandas, Natural Language Processing (NLP), Cloud Infrastructure, Team Leadership, Cloud, Machine Vision, Image Processing, Algebra, Convex Optimization, Optimization Algorithms, Data Wrangling, Simulations, Physics Simulations, User Interface (UI), 3D, GPT, OR-Tools, Consulting, 3D Modeling, 3D CAD, Graphics Processing Unit (GPU), Vertex, Image Recognition, Writing & Editing, OpenAI GPT-3 API, OpenAI GPT-4 API, Generative Pre-trained Transformer 3 (GPT-3), GPU Computing, Research, Programming, Geospatial Data, Data Engineering, Chatbots, OCR, OpenAI, Minimum Viable Product (MVP), APIs, Generative Adversarial Networks (GANs), Neat, Generative Design, Augmented Reality (AR), Quantum Computing, Frameworks, QGIS, Digital Elevation Models, Satellite Images, Point Clouds

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