Peter Skvarenina，德国黑森州法兰克福的开发商
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Peter Skvarenina

Verified Expert  in Engineering

Artificial Intelligence Developer

Location
Frankfurt, Hesse, Germany
Toptal Member Since
April 4, 2022

Peter是一个精力充沛的开发人员，他正在寻找他可以帮助发展的令人兴奋的项目. 他有在大公司和初创公司工作的经验, 在一些最好的科技公司工作过, like JetBrains, Nokia, and SUN, 并为他们所在领域的许多一流解决方案做出了贡献. 在完成了计算机科学和机器学习的硕士学位之后, 彼得现在正在斯坦福大学扩展他在深度学习方面的知识, 探索它在自动化认知任务中的应用.

Artificial Intelligence (AI)Full-stackDeep Neural NetworksComputer VisionRoboticsWeb DevelopmentDeep LearningMachine LearningAI ProgrammingData ScientistNatural Language Processing (NLP)AnalyticsChatbotsChatbot Conversation DesignJava

Portfolio

Self-employed
PyTorch, TensorFlow, Keras, Amazon Web Services (AWS)， Azure, Java, JavaScript...
JetBrains
Java, WebGL，云，AI编程，api, PostgreSQL，图像处理...
Nokia
Java, Hadoop，云，api, PostgreSQL，数据管道，图像处理...

Experience

Java - 12 yearsComputer Vision - 8 yearsAmazon Web Services (AWS) - 6 yearsTensorFlow - 5 yearsDeep Learning - 5 yearsMachine Learning - 5 years自然语言处理(NLP) - 4年PyTorch - 3 years

Availability

Part-time

Preferred Environment

Visual Studio Code (VS Code)

The most amazing...

...project I've developed was Animatron.这是JetBrains旗下的一家儿童公司，大部分算法都是我设计和发明的.

Work Experience

工程咨询副总裁|深度学习顾问

2017 - PRESENT
Self-employed
  • 参与AWS上的大规模自然语言处理(NLP)文档搜索, replacing ElasticSearch, 与亚马逊的肯德拉团队合作.
  • Worked on an ML, 基于云的照片和矢量编辑器(CV/NLP), NVidia在SIGGRAPH 2021上展示了谁的功能, 在计算机图形学和交互技术的首要会议和展览- youtu.be/2fddvn16WIw?t=444s.
  • 为基于深度学习的视频编辑器提供咨询，带有姿态跟踪风险资本种子原型.
  • 处理微观制造缺陷检测系统，在生产中准确率达到97%.
  • 利用SLAM点云和语义分割对室内三维空间进行重构.
  • 致力于基于云的移动设备欺诈检测管道.
  • 为广告提供商开发上下文智能图像内容过滤器.
Technologies: PyTorch, TensorFlow, Keras, Amazon Web Services (AWS)， Azure, Java, JavaScript, GPT, Natural Language Processing (NLP), 生成预训练变压器(GPT), Computer Vision, Large Language Models (LLMs), TypeScript, Artificial Intelligence (AI), C#, Image Generation, AI Programming, APIs, Pandas, Natural Language Understanding (NLU), Scikit-learn, Data Science, Data Pipelines, Image Processing, 生成式人工智能(GenAI), Hugging Face, Language Models, PDF, BERT, Generative Adversarial Networks (GANs), Stable Diffusion, Text to Image, Augmented Reality (AR), Artificial General Intelligence (AGI), OpenAI GPT-3 API, 生成预训练变压器3 (GPT-3), GPT-4, App Development, Full-stack Development, OpenCV, Fine-tuning, Data Scientist, Data Extraction, Data Engineering, System Design, ChatGPT, OpenAI GPT-4 API, Distributed Computing, CTO, Convolutional Neural Networks, Image Analysis, Flask, Machine Learning Operations (MLOps), Architecture, Neural Networks, Data Loading, Full-stack, OpenAI API, Text to Task

Principal Engineer

2012 - 2017
JetBrains
  • 设计了Animatron动画软件的主要算法.
  • 制作了世界上第一个SVG SMIL编辑器，在HackerNews上排名第一.
  • 在JetBrains开发者峰会上展示了一项自动驾驶汽车技术.
Technologies: Java, WebGL，云，AI编程，api, PostgreSQL，图像处理, Web Development, App Development, Full-stack Development, OpenCV, Data Extraction, System Design, Distributed Computing, Image Analysis, Architecture, Neural Networks, Data Loading, Full-stack, Digitization

Senior SW Engineer

2008 - 2012
Nokia
  • 创建了一个类似谷歌地球的3D地球查看器，用于导航, including 3D cities, elevation, points of interest, and shortest path calculation.
  • 编制导航数据标准系统-关联的三维高程部分.org.
  • Co-designed the internal Nokia cloud, using Hadoop and Voldemort, 同时参加Navteq建筑峰会.
  • 荣获2010年特别成就奖.
Technologies: Java, Hadoop，云，api, PostgreSQL，数据管道，图像处理, App Development, Full-stack Development, Data Extraction, System Design, Distributed Computing, Architecture, Scraping, Full-stack

Senior SW Engineer | Technical Lead

2007 - 2008
Sun Microsystems
  • 致力于JMS网格的低级集群和事务协议, 一种主要用于金融领域的企业消息传递系统.
  • 通过及时解决客户问题，节省了超过1亿美元的损失.
  • 2007年因采用、参与社区和客户服务而获奖.
Technologies: Java, JMS, Distributed Systems, APIs, App Development, Full-stack Development, System Design, Distributed Computing, Architecture, Full-stack

Self-driving Car | Waypoint Navigation

http://github.com/EuROS-SDC17/Waypoint_Navigation
这是我在2017年第一学期参加的Udacity自动驾驶汽车纳米学位的顶点项目. 我们在模拟器中使用了航路点导航，后来在正宗的2016年林肯MKZ上运行. 我领导着一个五人的国际团队, 用机器人操作系统(ROS)研究低级汽车控制.

Demo available at:
www.youtube.com/watch?v=fQ-2ds-aInU

As-Rigid-As-Possible Shape Manipulation

http://github.com/squared9/Animation/tree/master/As_Rigid_As_Possible_Shape_Manipulation
用Python从头开始实现了一个神奇的静态角色动画算法(Igarashi 2005), 对可移动手柄使用重心坐标. 它应该与计算机视觉算法相结合进行背景去除和形状轮廓检测，以获得最佳效果.

Semantic Segmentation for Road Detection

http://github.com/squared9/Self-driving-Car/tree/master/Semantic_Segmentation
在Keras/TensorFlow中使用全卷积网络(FCN)/UNet检测图像中的道路区域, trained on the Kitty Road dataset. 它对自动驾驶汽车和自动寻路导航很有用.

适应或失败:三个变压器适配器的故事

Facebook人工智能研究(FAIR)的一个项目, 现在是Meta AI)关于使用小型可插拔适配器微调大型变压器, 导致更快的微调时间和相同或更好的性能.

分析和减轻数据集工件

这是一个来自德克萨斯大学奥斯汀分校的NLP项目，涉及虚假相关性的工件以及使用对抗性训练集去除它们. 该项目在消除对抗性句子和常规句子的歧义方面取得了重大进展.

Languages

Java, Python, JavaScript, c++， c#， TypeScript, R

Frameworks

Flask, Hadoop

Libraries/APIs

JMS、PyTorch、TensorFlow、Keras、Pandas、OpenCV、Scikit-learn、WebGL

Paradigms

异常检测，应用程序开发，分布式计算，数据科学

Platforms

Amazon Web Services (AWS)、Azure、Visual Studio Code (VS Code)

Other

Deep Learning, Machine Learning, Robotics, Cloud, Natural Language Processing (NLP), Computer Vision, Artificial Intelligence (AI), Large Language Models (LLMs), OCR, AI Programming, APIs, Image Processing, 生成式人工智能(GenAI), Chatbots, Web Development, Linear Regression, Language Models, BERT, Generative Adversarial Networks (GANs), Chatbot Conversation Design, Text to Image, GPT, 生成预训练变压器(GPT), Artificial General Intelligence (AGI), OpenAI GPT-3 API, 生成预训练变压器3 (GPT-3), Full-stack Development, Fine-tuning, Data Scientist, System Design, Image Recognition, Text Recognition, Convolutional Neural Networks, Image Analysis, Architecture, Neural Networks, Facial Recognition, Data Loading, Variational Autoencoders, Deep Neural Networks, Full-stack, Digitization, Analytics, OpenAI API, Text to Task, Innovation, Stable Diffusion, Natural Language Understanding (NLU), Reinforcement Learning, Financial Forecasting, Image Generation, Hugging Face, Generative Design, Augmented Reality (AR), Object Detection, GPT-4, Data Extraction, Data Engineering, ChatGPT, OpenAI GPT-4 API, CTO, Machine Learning Operations (MLOps), Speech Recognition, Entrepreneurship, Leadership, Finance, Distributed Systems, Robot Operating System (ROS), Natural Language Queries, Transformers, GPU Computing, PDF, Text to Video, Scraping

Storage

PostgreSQL, Data Pipelines

Tools

LaTeX

2021 - 2022

Diploma in Artificial Intelligence

Stanford University - Stanford, CA, USA

2019 - 2022

工商管理硕士(MBA)

美国伊利诺伊大学厄巴纳-香槟分校

2017 - 2020

Master's Degree in Computer Science

佐治亚理工学院-亚特兰大，乔治亚州，美国