Daniel Jorge Deutsch Email & Phone Number

Paris, FR

Paris, Île-de-France, France

Paris, Île-de-France, France

• Member of the company's AI Research department, researching multimodal deep learning algorithms that can be applied in the financial and high-fashion industries.
• Implemented a multimodal transformer-based neural network to predict outfit compatibility.
• Developed question-answering systems using RAG architecture (single and multi-agent) with LangChain, and LangGraph to improve LLM response quality.
• Deployed a GenAI computer vision model using diffusion techniques for image inpainting, generating realistic images ofpeople wearing specified clothing via an API.
• Actively followed AI advancements and implemented architectures proposed by recent research papers.
• Wrote an internal newsletter offering a detailed and accessible view of AI concepts for a wide audience.Tech Stack: Python, Pytorch, Pandas, Polars, NumPy, LangChain, LangGraph, Git, Docker, GCP, Jupyter, Hugging Face.

Paris, Île-de-France, France

• Worked in the Product department, mainly performing market trends research and applying deep learning algorithms to enhance market insights and risk management strategies.
• Trained a deep learning model for market sentiment analysis on 6M+ social media posts, leveraging transfer learning techniques with BERT-Base as the backbone.
• Applied anomaly detection algorithms on trading data, improving risk management strategies and market surveillance.
• Deployed a PySpark pipeline to efficiently process and analyze a large volume of historical market data.Tech Stack: Python, TensorFlow, Pyspark, Jupyter, gRPC, Git, Docker, Hugging Face.

São Paulo, São Paulo

• Member of the Data Analytics team, focused on monitoring and optimizing Big Data pipelines for trading data, with a primary emphasis on the Brazilian and US stock markets.
• Designed a scalable Airflow architecture to orchestrate the use of virtual machines, improving data flow tracking while reducing cloud infrastructure costs.
• Architected a serverless framework to monitor the ingestion, processing, and enrichment of trading data, ensuring near real-time feedback on data integrity.
• Implemented a CI/CD pipeline to automate the deployment of Airflow DAGs, facilitating data flow updates.Tech Stack: Python, AWS (Lambda, S3, EMR, EC2, RDS, Athena, API Gateway, DynamoDB), Airflow, PySpark, Jupyter.

São Paulo, São Paulo

• Specialized in both development and leadership roles within the Technology department of the junior company. Contributed to numerous projects, overseeing teams and guiding technology decisions.
• Managed a team of developers throughout the entire lifecycle of a mobile application, from initial concept to final delivery.
• Collaborated on the development of APIs, websites, and mobile applications, meeting specific customer requirements.
• Conducted code reviews and provided mentorship to junior developers, fostering a culture of continuous learning and improvement within the team.Tech Stack: Python, JavaScript, HTML/CSS, React, Django, Git, MySQL.

Master Of Engineering - M.Eng, Computer Science

Coursework: Deep Learning, Machine Learning, Time Series, Statistics, Probability, Optimization Theory, Leadership, Management.

Master Of Science - M.Sc, Financial Data Science

Coursework: Econometrics, Asset Pricing, Risk Management, Applied Machine Learning, Applied Big Data Analytics in Finance.

Bachelor Of Science - B.Sc, Electrical Engineering - Control And Automation

Coursework: Calculus, Linear Algebra, Probability Theory, Statistics, Applied Mathematics, Machine Learning, Data Science, Control.