Jorge Miguel Carvalho Gomes,葡萄牙里斯本的开发者
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Jorge Miguel Carvalho Gomes

Verified Expert  in Engineering

Artificial Intelligence (AI) Developer

Location
Lisbon, Portugal
Toptal Member Since
July 3, 2019

Along with earning a Ph.D. in AI, Jorge在该领域工作了十多年,在顶级期刊和国际会议上发表了30多篇科学论文,并获得了多项学术和科学奖项. His recent professional experience includes working as CTO for an AI startup; as Chief Data Scientist at an IoT startup; as a Python and AI game developer; and as an assistant professor and scientific researcher at the University of Lisbon.

Availability

Part-time

Preferred Environment

GitHub, PyCharm, Linux, Python 3, TensorFlow, Jupyter Notebook, Google Cloud

The most amazing...

...我所做的项目是概念化、原型化并领导《欧博体育app下载》的开发.ai,全球首个ai辅助游戏创意和研究平台.

Work Experience

Chief Data Scientist

2018 - 2021
Sonodot
  • 构建了一个基于Apache Kafka的平台,用于从物联网设备中摄取大量数据.
  • 构建了传感器数据的实时清洗和预处理流水线, based on Asyncio, NumPy, and Apache Kafka.
  • 为按需和实时分析和可视化开发web api, based on Python, Pandas, and Plotly.
  • 为传感器数据的时间序列开发机器学习应用程序, for instance, 基于深度神经网络的活动检测与轨迹分类.
  • Developed simulation models and optimization engines.
  • 管理开发团队,制定软件和产品开发的战略计划.
Technologies: RStudio Shiny, R, Aiohttp, Asyncio, Plotly, NumPy, Scikit-learn, Keras, Pandas, Apache Kafka, Python

Assistant Professor

2017 - 2018
University of Lisbon
  • Taught Programming I & II (Python),算法和数据结构(Java),计算理论.
  • Developed pedagogical materials.
  • Mentored undergraduate and postgraduate students.
  • 准备和建立项目提案和科学合作.
  • 准备了一份关于马尔可夫链模型和机器学习的项目提案,获得了250欧元的奖励,000 in funding.
Technologies: Java, Python

Doctoral and Postdoctoral Researcher

2012 - 2017
Instituto de Telecomunicações
  • Developed my Ph.D. 关于进化计算、自主代理和神经网络的论文.
  • 在R中实现了大量科学数据的统计分析和可视化.
  • 使用无监督机器学习从大量高维数据中提取知识.
  • 为自主代理和神经网络的训练开发了新的算法.
  • 为支持基于神经的自主代理控制器的进化,构建了一个基于代理的模拟器, in Java.
  • 运行高性能计算(HPC)实验,包括Google Cloud和Sun Grid Engine.
  • 在该领域的顶级会议和期刊上撰写并发表了20多篇科学论文, four of which were nominated for best paper awards.
Technologies: Evolutionary Algorithms, R, Java

Co-founder

2016 - 2016
Ocean Swarm
  • Worked on robotics testing, programming, and development.
  • Conducted market research and developed a business plan.
  • 为欧盟委员会的H2020呼吁准备了两份研究提案.
Technologies: R, Java

Invited Teaching Assistant

2013 - 2015
University of Lisbon
  • 教授计算机系统体系结构(汇编和硬件体系结构)和编程实验(Java编程入门)课程。.
Technologies: Assembly, Java

Research Assistant

2009 - 2012
LabMag
  • 在人工智能项目中担任研究助理.
Technologies: NetBeans RCP, X3D, R, GeoTools, OWL, Java

Evolution of Repertoires of Behaviors

我研究并开发了机器人神经网络控制器自动合成谱的新方法.

Publications:
• Two international journal papers
• Three international conference papers

异构多智能体系统协同进化的新方法

研究开发了新的协同进化算法,用于异构多智能体系统的控制演化与优化.

Published Papers:
• Three international journals
• Nine international conferences
• Three international workshops

Control of Aquatic Drones for Maritime Tasks (CORATAM)

http://biomachineslab.com/projects/control-of-aquatic-drones-for-maritime-tasks-coratam/
我设计并控制了一个用于海上任务的水上多机器人系统. 并利用进化算法对多机器人系统的控制进行了优化.

Published Papers:
• One international journal
• Two international conferences
• One international workshop

新颖性搜索下的自组织行为演化

Here you can find my master’s thesis. 研究由行为新颖性(新颖性搜索)驱动的进化技术在群体机器人系统综合控制中的潜力.

Published Papers:
• Two international journals
• Two international conferences
• One international workshop

PREVER -移动劳动力预测和模拟系统

我开发了一个移动劳动力需求预测系统. 该系统使用数据挖掘和机器学习来预测葡萄牙最大的电力运营商的电网故障.

城市归纳:制定、评估和生成城市设计的模型

http://github.com/jorgemcgomes/4cityplan
我设计并开发了一个辅助城市发展过程的工具. It targeted district planning, 目标是促进更可持续的城市环境的产生. 我还开发了一个语义web应用程序(4CityPlan)进行分类和分析
urban intervention zones.

Published Papers:
• One international journal
• Two international conferences
• Two international workshops
2013 - 2017

Ph.D. Degree in Artificial Intelligence

University of Lisbon - Lisbon, Portugal

2015 - 2015

完成技术商业化强化课程

COTEC葡萄牙|北卡罗莱纳州立大学-里斯本,葡萄牙

2010 - 2012

Master's Degree in Computer Science, AI Specialization

University of Lisbon - Lisbon, Portugal

2007 - 2010

Bachelor's Degree in Computer Science

University of Lisbon - Lisbon, Portugal

Languages

Python, Java, R, Assembly, OWL, SQL, Python 3

Libraries/APIs

Python Asyncio, Pandas, Ggplot2, PyTorch, NumPy, Scikit-learn, Keras, REST APIs, TensorFlow, Asyncio, Matplotlib

Tools

Plotly, Amazon Elastic Container Service (Amazon ECS), Jira, Git, Google Compute Engine (GCE), PyCharm, GitHub, GeoTools, Amazon CloudWatch

Paradigms

数据科学,看板,敏捷软件开发,单元测试

Platforms

RStudio, Apache Kafka, Linux, Docker, Jupyter Notebook, NetBeans RCP, Amazon EC2

Other

Sensor Data, Artificial Intelligence (AI), Neural Networks, Simulations, Optimization, Machine Learning, Evolutionary Computation, Data Visualization, Research, Internet of Things (IoT), Data Engineering, Computer Vision, Natural Language Processing (NLP), Robotics, Clustering Algorithms, Deep Learning, GPT, Generative Pre-trained Transformers (GPT), Aiohttp, Evolutionary Algorithms, X3D, Cluster Computing

Frameworks

RStudio Shiny, Flask

Storage

Redis, Google Cloud

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