Senior Data Engineer and AI Researcher - Machine Learning and Quantitative Analysis
Aktualisiert am 21.03.2025
Profil
Mitarbeiter eines Dienstleisters
Verfügbar ab: 11.03.2025
Verfügbar zu: 100%
davon vor Ort: 100%
Skill-Profil eines fest angestellten Mitarbeiters des Dienstleisters
Portuguese
English

Einsatzorte

Einsatzorte

Deutschland
nicht möglich

Projekte

Projekte

2019 - 2024: Research

Role: PhD Candidate and AI Researcher
Customer: GAIPS Lab, INESC-ID, Lisbon (Portugal)

Tasks:
  • Improved downtown Lisbon traffic flow efficiency by 10% using a multi-agent reinforcement learning system
  • Served as teaching assistant for 9 machine learning courses
  • Enhanced the lab?s research reputation by publishing 1 article in leading machine learning workshop conferences
  • Responsibilities
    • Research, system optimization, teaching, publication of research

Skills:
Multi-Agent Systems, Reinforcement Learning

2018 - 2019: Development of risk analysis tools

Role: Machine Learning Engineer
Customer: NIT Learn, BTG Lab, Rio de Janeiro (Brazil)

Tasks:
  • Developed risk analysis tools in anti-money laundering (AML) systems for the largest investment bank in Latin America
  • Automated routines for AML processes using Redis for scheduling background checks and Neo4j for transaction ingestion, optimizing data flow and system performance
  • Responsibilities
    • Risk analysis tool development, AML system automation, and data process optimization

Skills:
Machine Learning, Risk Analysis, Redis, Neo4j, Python

2013 ? 2016: Development and provision of a backend application

Role: Technical Co-Founder
Customer: Babygram, Rio de Janeiro (Brazil)

Tasks:
  • Successfully built and deployed a backend application using Ruby on Rails, hosted on AWS and Heroku, serving 2000+ users and ensuring high service quality
  • Managed a 5-member team and implemented data-driven marketing strategies to engage users
  • Oversaw the development and deployment of cloud-based infrastructure, optimizing performance and scalability.
  • Responsibilities
    • Team management, application deployment, user engagement strategy

Skills:
Application Development, Data-Driven Marketing

2008 ? 2012: Development of trading strategies and optimization of portfolios

Role: Senior Software Developer and Quantitative Research Analyst
Customer: Polo Capital Asset Management, Rio de Janeiro (Brazil)

Tasks:
  • Generated a 12% yearly profit in ForEx markets by designing trading strategies and optimizing portfolios
  • Designed an arbitrage strategy for stocks' daily average volume
  • Engineered a system for high-frequency trading in the stock market
  • Responsibilities
    • Trading strategy design, portfolio management, system engineering

Skills:
ForEx Trading, Portfolio Optimization, High-Frequency Trading

2006 ? 2008: Developed back-office tools for fund management

Role: Software Developer, System Administrator
Customer: Polo Capital Asset Management, Rio de Janeiro (Brazil)

Tasks:
  • Generated 3000+ high-quality leads for a housing credit fund using web crawlers
  • Developed back-office tools for fund management
  • Led the IT infrastructure expansion of the company
  • Responsibilities
    • Lead generation, system administration, IT infrastructure expansion

Skills:
Web Crawlers, Back-Office Tools, IT Infrastructure

2004 - 2006: Risk analysis and back-office activities

Role: Risk Analysis Intern and Back-Office Analyst
Customer: Máxima Bank, Opus Asset Management, Rio de Janeiro (Brazil)

Tasks:
  • Assisted in risk analysis and back-office operations
  • Responsibilities
    • Risk assessment, back-office support

Aus- und Weiterbildung

Aus- und Weiterbildung

2019 ? today
PhD Candidate in Computer Science
INSTITUTO SUPERIOR TÉCNICO - UNIVERSITY OF LISBON

2016 ? 2019
Master?s Degree in Computer Science
PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO

Bachelor?s Degree in Informatics
UNIVERSIDADE LUSÓFONA

Position

Position

Senior Data Engineer and AI Researcher with Expertise in Machine Learning and Quantitative Analysis

Kompetenzen

Kompetenzen

Produkte / Standards / Erfahrungen / Methoden

Neo4j
Redis
Ruby on Rails
Heroku
Risk Analysis
Automated Systems
AI
Machine Learning
Deep Learning
Python
NoSQL
SQL
Data Analysis
AWS
ETL
Extract, Transform, Load
Data Architecture
Linux
Web Development

Einsatzorte

Einsatzorte

Deutschland
nicht möglich

Projekte

Projekte

2019 - 2024: Research

Role: PhD Candidate and AI Researcher
Customer: GAIPS Lab, INESC-ID, Lisbon (Portugal)

Tasks:
  • Improved downtown Lisbon traffic flow efficiency by 10% using a multi-agent reinforcement learning system
  • Served as teaching assistant for 9 machine learning courses
  • Enhanced the lab?s research reputation by publishing 1 article in leading machine learning workshop conferences
  • Responsibilities
    • Research, system optimization, teaching, publication of research

Skills:
Multi-Agent Systems, Reinforcement Learning

2018 - 2019: Development of risk analysis tools

Role: Machine Learning Engineer
Customer: NIT Learn, BTG Lab, Rio de Janeiro (Brazil)

Tasks:
  • Developed risk analysis tools in anti-money laundering (AML) systems for the largest investment bank in Latin America
  • Automated routines for AML processes using Redis for scheduling background checks and Neo4j for transaction ingestion, optimizing data flow and system performance
  • Responsibilities
    • Risk analysis tool development, AML system automation, and data process optimization

Skills:
Machine Learning, Risk Analysis, Redis, Neo4j, Python

2013 ? 2016: Development and provision of a backend application

Role: Technical Co-Founder
Customer: Babygram, Rio de Janeiro (Brazil)

Tasks:
  • Successfully built and deployed a backend application using Ruby on Rails, hosted on AWS and Heroku, serving 2000+ users and ensuring high service quality
  • Managed a 5-member team and implemented data-driven marketing strategies to engage users
  • Oversaw the development and deployment of cloud-based infrastructure, optimizing performance and scalability.
  • Responsibilities
    • Team management, application deployment, user engagement strategy

Skills:
Application Development, Data-Driven Marketing

2008 ? 2012: Development of trading strategies and optimization of portfolios

Role: Senior Software Developer and Quantitative Research Analyst
Customer: Polo Capital Asset Management, Rio de Janeiro (Brazil)

Tasks:
  • Generated a 12% yearly profit in ForEx markets by designing trading strategies and optimizing portfolios
  • Designed an arbitrage strategy for stocks' daily average volume
  • Engineered a system for high-frequency trading in the stock market
  • Responsibilities
    • Trading strategy design, portfolio management, system engineering

Skills:
ForEx Trading, Portfolio Optimization, High-Frequency Trading

2006 ? 2008: Developed back-office tools for fund management

Role: Software Developer, System Administrator
Customer: Polo Capital Asset Management, Rio de Janeiro (Brazil)

Tasks:
  • Generated 3000+ high-quality leads for a housing credit fund using web crawlers
  • Developed back-office tools for fund management
  • Led the IT infrastructure expansion of the company
  • Responsibilities
    • Lead generation, system administration, IT infrastructure expansion

Skills:
Web Crawlers, Back-Office Tools, IT Infrastructure

2004 - 2006: Risk analysis and back-office activities

Role: Risk Analysis Intern and Back-Office Analyst
Customer: Máxima Bank, Opus Asset Management, Rio de Janeiro (Brazil)

Tasks:
  • Assisted in risk analysis and back-office operations
  • Responsibilities
    • Risk assessment, back-office support

Aus- und Weiterbildung

Aus- und Weiterbildung

2019 ? today
PhD Candidate in Computer Science
INSTITUTO SUPERIOR TÉCNICO - UNIVERSITY OF LISBON

2016 ? 2019
Master?s Degree in Computer Science
PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO

Bachelor?s Degree in Informatics
UNIVERSIDADE LUSÓFONA

Position

Position

Senior Data Engineer and AI Researcher with Expertise in Machine Learning and Quantitative Analysis

Kompetenzen

Kompetenzen

Produkte / Standards / Erfahrungen / Methoden

Neo4j
Redis
Ruby on Rails
Heroku
Risk Analysis
Automated Systems
AI
Machine Learning
Deep Learning
Python
NoSQL
SQL
Data Analysis
AWS
ETL
Extract, Transform, Load
Data Architecture
Linux
Web Development

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