Diego is available for hire
Hire Diego迭戈·阿里尔·本德斯基
验证专家 in Engineering
软件开发人员
Location
布宜诺斯艾利斯，阿根廷
至今成员总数
2019年10月14日
Diego is a computer science licentiate with more than 15 years of experience. 他为各种规模的公司工作过, 现场和远程, 主要担任高级开发人员/架构师(C/ c++编程), Python和最近的Go), 作为小程序员团队的技术领导. He has a problem-solving attitude and likes to use the most suitable tool for each task. 他是两项专利和一些研究出版物的合著者.
Portfolio
Jampp
亚马逊网络服务(AWS)，普罗米修斯，Docker, Redis, Python, Go
Fundacion Sadosky
MongoDB, Hadoop, Python, Java
Disarmista
系统编程，Python, C, c++
Experience
Availability
Part-time
首选的环境
GitHub, Visual Studio Code (VS Code)， MacOS, Ubuntu
最神奇的...
...thing I've ever built was a real-time ransomware detector for a commercial corporate antivirus.
工作经验
首席工程师
2018 - 2019
Jampp
- Proposed an alternate architecture and migration plan (from Python to Go) for a Real-Time Bidder that should outperform the current application and should support 0.5M qps，最大延迟为50ms. 包括Go中的性能分析和原型组件.
- Created an architecture for incremental migration of the current app with coexisting Go and Python components.
- Designed and implemented a device ID database for real-time access (1B keys, <5ms, 0.5M qps)在实时投标人内部使用.
- Designed and implemented a centralized component for estimating campaigns budget spend in real-time and stop campaigns immediately when the budget is reached.
Technologies: 亚马逊网络服务(AWS)，普罗米修斯，Docker, Redis, Python, Go
数据科学项目顾问
2014 - 2018
Fundacion Sadosky
- 曾担任帕伦克的产品经理, a platform for agriculture-related data portals and software products.
- Developed web scrappers for Palenque: weather station data (15 nationwide and local networks with different web pages/apps) and grain prices. 我使用Python/Scrappy和MongoDB.
- Organized data science courses for people without a CS background: R for health professionals, 社会科学家的NLP. 数据科学入门讲座.
- 为公共部门的数据科学项目提供咨询.
技术:MongoDB, Hadoop, Python, Java
高级开发人员
2012 - 2018
Disarmista
- Created a configurable/scriptable engine for detecting security threats in workstations based on the behavior of processes across the system. 在商业公司杀毒软件中用作勒索软件检测器. 包括内核驱动程序的开发.
- Created an engine for building snapshots of the state of a Windows workstation (filesystem, registry, memory) and detecting security threats by checking hundreds of IOCs (indicator of compromise). 商业企业防病毒软件内部使用.
- Tuned a machine learning algorithm for detecting malware based on static information extracted from executable files.
- Designed and developed a transparent encryption layer for cloud file storage such as Box, Dropbox and Google Drive (files are encrypted for upload and decrypted for download on-the-fly). 为Windows和Mac开发. Included kernel drivers, a credential server and communication components.
- Created video filters for an iOS educational application using ObjectiveC and OpenGL.
技术:系统编程，Python, C, c++
大数据/机器学习顾问
2013 - 2014
Taringa
- 为内部广告服务器创建了一个报告系统. It needed to handle reports by the hour, day and month faceted by 3 arbitrary attributes.
- Created a module for ranking posts and choosing the top-n by audience and topic based on an ad-hoc designed formula for estimated the growth potential of each post.
- Created a traffic prediction and forecasting module for an ad server using temporal series.
技术:机器学习，MongoDB, Python
高级开发人员，总工程师，I+D负责人
2008 - 2012
Popego
- Performed research on NLP and classification techniques for personal media consolidation and developed the Popego site backend features. 主要任务:深度文本分析, 主题分类, 生成用户配置文件, 以及基于兴趣的用户聚类.
- 创建了一个自动网站分类器/分析器, 提供在线和可扩展的新主题和类别培训. 开发网站的后端和ML功能. 包括网页抓取，提取每个页面上的相关文本.
- 为内部广告服务器实现了一种广告选择算法, using CTR prediction and user profile matching based on content classification.
- 进行研究并开发情感分析原型, NLP and classification of tweets for measuring user reaction on particular topics and products.
- Created a system for generating feature sets and list of possible values for a given list of products and categories. Included a generic web scrapper that searches for pages with products factsheets, 提取和清理其特征/值.
Technologies: SciPy, Natural Language Toolkit (NLTK), MongoDB, Java, Python
微软研究院实习生
2007 - 2007
Microsoft
- Created an online learning algorithm for reducing (nonlinear) harmonic distortion in voice communications with cheap hardware. 制作了一个原型，获得了美国专利，并发表了一篇研究论文.
技术:MATLAB, C
高级开发人员，总工程师
1999 - 2004
核心安全技术
- Contributed to the design and the development of a corporate workstation security product. 实现了Windows登录替换, 认证服务器和该产品的许多组合特性, 包括执行Windows应用程序的访问权限和工具.
- Performed research and developed prototypes for applying innovative visualization techniques for the detection of security breaches by visually analyzing large amounts of log files.
- Coordinated a small team for the development of a product for the enforcement of access rights for files, 基于每个应用程序的注册表项和网络连接.
- 创建了一个执行软件许可的产品. It included automatic binary encryption and a fingerprinting schema for uniquely identify each copy of the software. 该产品已获得美国专利.
技术:系统编程，Smalltalk, C, c++
Experience
Meaningtool
自动网页分类器/分析器, 与新主题和类别树的在线和可扩展的培训. Meaningtool detects the relevant text, extracts keywords and classifies the content. 开发网站的后端和ML功能.
Core Wisdom
Core Wisdom consolidates large amounts of log files and provides innovative visualization techniques for immersive navigation and analysis, 启用对重要安全威胁的检测.
谐波失真残留回波抑制(美国专利)
http://patents.google.com/patent/US8213598B2Online learning algorithm for reducing harmonic distortion in voice communications with cheap hardware. 这个算法是我在微软研究院实习期间产生的.
Security Framework for Protecting Rights in Computer Software (US Patent)
http://patents.google.com/patent/US7549147用于执行软件许可的产品. It included automatic binary encryption and a fingerprinting schema for uniquely identify each software copy. 与核心安全技术研究团队共同开发.
Education
1995 - 2002
Licenciado (Equivalent to a Bachelor + Master's Degree) in Computer Science
布宜诺斯艾利斯大学-布宜诺斯艾利斯，阿根廷
Skills
库/ api
REST APIs, Natural Language Toolkit (NLTK), SciPy, Scikit-learn, Twitter API
Tools
GitHub, MATLAB
Languages
Python, C, c++， Smalltalk, Go, Java
Frameworks
Hadoop, Spark
Storage
Redis, MongoDB, PostgreSQL
Platforms
Ubuntu, MacOS, Visual Studio Code (VS Code), Docker, Cloud Native, Amazon Web Services (AWS)
Other
系统编程, Windows内核驱动程序, 复述,集群, Algorithms, 数据结构, Web Scraping, Prometheus, 机器学习, 自然语言处理(NLP), GPT, 生成预训练变压器(GPT)
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