Diego is available for hire

Diego Ariel Bendersky

Verified Expert in Engineering

Software Developer

Location

Buenos Aires, Argentina

Toptal Member Since

October 14, 2019

Diego拥有超过15年的计算机科学从业经验. He's worked for companies of all sizes, both on-site and remotely, mainly as senior developer/architect (programming in C/C++, Python and recently Go), and as a technical leader for small teams of programmers. 他有解决问题的态度，喜欢为每一项任务使用最合适的工具. He's a co-author of two patents and a few research publications.

C C++Python REST APIs Algorithms Web Scraping Redis MongoDB PostgreSQL Go Prometheus Machine Learning Natural Language Processing (NLP)Ubuntu MacOS Spark Smalltalk

Portfolio

Jampp

Amazon Web Services (AWS), Prometheus, Docker, Redis, Python, Go

Fundación Sadosky

MongoDB, Hadoop, Python, Java

Disarmista

System Programming, Python, C, C++

Experience

C - 12 years C++ - 12 years Python - 6 years Go - 2 years

Availability

Part-time

Preferred Environment

GitHub, Visual Studio Code (VS Code), MacOS, Ubuntu

The most amazing...

...我做过的东西是为商业公司反病毒软件做的实时勒索软件检测器.

Work Experience

Principal Engineer

2018 - 2019

Jampp

为Real-Time投标人提出了一个替代架构和迁移计划(从Python到Go)，该计划应优于当前应用程序，并应支持0.5M qps with a max latency of 50ms. Included performance analysis and prototyping components in Go.
创建了一个架构，用于使用共存的Go和Python组件对当前应用进行增量迁移.
Designed and implemented a device ID database for real-time access (1B keys, <5ms, 0.5M qps) to be used inside the Real-Time Bidder.
设计并执行一个集中组件，用于实时估算活动预算支出，并在达到预算时立即停止活动.

技术:Amazon Web Services (AWS)、Prometheus、Docker、Redis、Python、Go

Consultant for Data Science Program

2014 - 2018

Fundación Sadosky

Served as the product manager for Palenque,农业相关数据门户和软件产品平台.
为Palenque开发网页抓取工具:气象站数据(15个全国性和地方性网络，拥有不同的网页/应用程序)和谷物价格. I used Python/Scrappy and MongoDB.
为没有计算机科学背景的人组织数据科学课程;为卫生专业人员组织R课程, NLP for social scientists. Introductory data science talks.
Consulted on data science projects in the public sector.

Technologies: MongoDB, Hadoop, Python, Java

Senior developer

2012 - 2018

Disarmista

创建了一个可配置/可编写脚本的引擎，用于根据系统中进程的行为检测工作站中的安全威胁. Used inside a commercial corporate antivirus as a ransomware detector. Included the development of kernel drivers.
创建了一个引擎，用于构建Windows工作站(文件系统)状态的快照, registry, 通过检查数百个ioc(妥协指示器)来检测安全威胁。. Used inside a commercial corporate antivirus.
基于从可执行文件中提取的静态信息，优化了检测恶意软件的机器学习算法.
为Box等云文件存储设计并开发了透明加密层, Dropbox和Google Drive(文件上传时加密，下载时解密). Developed for Windows and Mac. 包括内核驱动程序、凭据服务器和通信组件.
使用objective和OpenGL为iOS教育应用程序创建视频过滤器.

Technologies: System Programming, Python, C, C++

Big Data/Machine Learning Consultant

2013 - 2014

Taringa

Created a reporting system for an in-house ad server. 它需要按小时、日和月按3个任意属性分面来处理报告.
创建了一个模块，用于对帖子进行排名，并根据受众和主题选择top-n，该模块基于一个特别设计的公式来估计每个帖子的增长潜力.
利用时间序列为广告服务器创建流量预测和预测模块.

Technologies: Machine Learning, MongoDB, Python

Senior Developer, Head Engineer, Head of I+D

2008 - 2012

Popego

对个人媒体整合的NLP和分类技术进行研究，开发Popego网站后端功能. Main tasks: deep text analysis, topic classification, generation of user profiles, and clusterization of users based on interests.
Created an automated website classifier/analyzer, with online and extensible training of new topics and categories. Developed the backend of the site and the ML features. Included web scrapping for extracting the relevant text on each page.
Implemented an ad selection algorithm for an in-house ad server, 使用CTR预测和基于内容分类的用户配置文件匹配.
Performed research and developed prototypes for sentiment analysis, NLP和tweet分类，用于测量用户对特定主题和产品的反应.
创建了一个系统，用于为给定的产品和类别列表生成功能集和可能值列表. 包括一个通用的网页抓取器，搜索带有产品说明书的页面, extracts and cleans its features/values.

技术:SciPy，自然语言工具包(NLTK)， MongoDB, Java, Python

Intern at Microsoft Research

2007 - 2007

Microsoft

创建了一种在线学习算法，用于使用廉价硬件减少语音通信中的(非线性)谐波失真. Produced a prototype, a US Patent, and a research paper.

Technologies: MATLAB, C

Senior Developer, Head Engineer

1999 - 2004

Core Security Technologies

参与公司工作站安全产品的设计和开发. Implemented a Windows login replacement, an authentication server and many assorted features of the product, including enforcing access rights and instrumentation of Windows apps.
执行研究和开发原型，用于应用创新的可视化技术，通过可视化分析大量日志文件来检测安全漏洞.
协调一个小团队开发一个产品，用于执行文件的访问权限, registry keys and network connections on a per-application basis.
Created a product for enforcing software licenses. 它包括自动二进制加密和指纹模式，用于唯一地标识软件的每个副本. An US Patent was granted for this product.

Technologies: System Programming, Smalltalk, C, C++

Experience

Meaningtool

Automated web page classifier/analyzer, with online and extensible training of new topics and category trees. 该工具检测相关文本，提取关键字并对内容进行分类. Developed the back end of the site and the ML features.

Core Wisdom

Core Wisdom整合了大量的日志文件，并为沉浸式导航和分析提供了创新的可视化技术, enabling the detection of non-trivial security threats.

Harmonic Distortion Residual Echo Suppression (US Patent)

http://patents.google.com/patent/US8213598B2

用廉价硬件减少语音通信谐波失真的在线学习算法. The algorithm was produced during an internship at Microsoft Research.

保护电脑软件权利的保安架构(美国专利)

http://patents.google.com/patent/US7549147

Product for enforcing software licenses. 它包括自动二进制加密和唯一标识每个软件副本的指纹模式. Developed with the research team of Core Security Technologies.

Skills

Languages

Python, C, C++, Smalltalk, Go, Java

Libraries/APIs

REST API，自然语言工具包(NLTK)， SciPy, Scikit-learn, Twitter API

Storage

Redis, MongoDB, PostgreSQL

Other

System Programming, Windows Kernel Drivers, Redis Clusters, Algorithms, Data Structures, Web Scraping, Prometheus, Machine Learning, Natural Language Processing (NLP), GPT, Generative Pre-trained Transformers (GPT)

Frameworks

Hadoop, Spark

Tools

GitHub, MATLAB

Platforms

Ubuntu, MacOS, Visual Studio Code (VS Code)， Docker, Cloud Native, Amazon Web Services (AWS)

Education

1995 - 2002

计算机科学学士学位(相当于学士+硕士学位)

Universidad de Buenos Aires - Buenos Aires, Argentina

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