Paul Barros Bessone
London
Summary
Highly skilled AI and machine learning professional with a strong academic foundation from the University of York, where I graduated with distinction. Leveraging advanced LLMs and transformer models, I have gained hands-on experience building robust RAG systems and AI agents within a fast-paced fintech startup. Proficient in Python, Java, and JavaScript, I have successfully deployed ML-driven web applications using Streamlit and Retool. Demonstrating a strong ability to translate complex data into actionable insights through advanced statistical analysis and forecasting techniques. Seeking a challenging role to apply my expertise in driving business growth through AI.
Overview
20
20
years of professional experience
2
2
Certifications
Work History
ML Engineer
ArgoXai
02.2024 - 07.2024
- Developed and implemented advanced machine learning models for Fintech, M&A, and insurance applications, driving innovation and efficiency in these sectors
- Leveraged large language models (LLMs) and Langchain agents for sophisticated tasks, including Retrieval-Augmented Generation (RAG), topic modeling, clustering, and semantic embeddings
- Employed Bertopic for efficient topic modeling and text summarization, enhancing the interpretability and organization of large text datasets
- Implemented robust code for information extraction from complex documents, including XBRL data, improving data accuracy and accessibility
- Optimized machine learning models for performance and scalability, ensuring seamless integration into production environments
- Collaborated with cross-functional teams to prototype web applications, showcasing the practical applications of machine learning solutions.
Computer Scientist (Ai)
University College London
10.2022 - 04.2023
- Assisted in a project utilizing CNNs with PyTorch for fMRI imaging signals, focusing on code optimization and hyperparameter tuning, which provided insights into deep learning architectures and signal processing
- Supervised the management of a GitHub repository for a Python package tailored to neuroscience research
- Introduced unit testing to improve the robustness and reliability of application functions.
Audio Engineer
Freelance
01.2005 - 12.2023
- Dialogue editor: Played a key role in dialogue editing for an Emmy Award-winning production
- My responsibilities included enhancing speech clarity, syncing dialogue with visuals, and ensuring overall audio quality
- Leadership: Spearheaded the archival and digitization of analogue recordings for a renowned international artist, managing intricate transfer and restoration processes
- Technical Installation: Led the setup of 3D sound systems for high-profile art installations
- Collaborative Creativity: Worked alongside producers and artists to ensure top-tier recordings for best-selling music video games
- Professional Mixing: Served as the mixing and mastering engineer for countless music productions
- Broadcasting Expertise: Played a pivotal role in broadcasting events for globally recognized networks, ensuring seamless audio delivery.
Education
MSc in Computer Science with Artificial Intelligence - Advanced programming, big data analytics, AI, and ML
University of York
BSc in Audio Engineering - Mathematics, physics, computer science, electronics, acoustics, and statistics
University of Chile
Skills
Python
Java
Langchain
NLP
AWS
Pytorch
RAG
Streamlit
Git
Topic Modelling
Clustering
Data Wrangling
Coursework
Machine Learning and Artificial Intelligence Services on AWS, Oxford University, This course provided overall knowledge and hands-on experience with AWS services, focusing on:
Transcribe, Translate, Comprehend, Lex: Leveraged these services for advanced data analysis.
Polly, Rekognition, Textract: Gained expertise in image recognition, text extraction from various media, and text-to-speech functionalities.
SageMaker: Gained foundational knowledge of building, training, and deploying machine learning models using AWS SageMaker.
Projects
Master's Thesis, Project Title: "Evaluating Jellyfish Search Optimizer in Portfolio Optimization"
Innovation: First study introducing Jellyfish Search Optimizer (JSO) to portfolio optimization, a significant advancement in financial algorithms, reflecting my enthusiasm for pioneering new avenues in AI and machine learning
Methodology: Comparative analysis of JSO with Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) for asset allocation.
Performance Metrics: Utilization of the Sharpe Ratio to assess risk-adjusted returns efficiency. Additional Research Experience, Project Title: "Evaluation of the Impact of Green and Sustainable Energy Sources on CO2 Emissions in the UK"
Scope: Analyzed the influence of renewable energy on CO2 emissions in the UK using historical data.
Methodology: Employed supervised learning and feature selection optimization, focusing on Support Vector Regression (SVR) for its efficiency and high-dimensional data handling.
Impact: The study offers vital insights for energy policy, emphasizing the benefits of renewable energy adoption in reducing CO2 emissions. Machine Learning and Software Development Projects, Portfolio Optimization Python Package (In Progress): Creating a Python package for portfolio optimization using object-oriented programming principles and leveraging popular Python libraries such as Pandas and NumPy. The project is hosted on GitHub, and the package is available on PyPI.
Statistical Analysis Application: Developed a comprehensive Python application, incorporating database technologies. Details on its GitHub repository.
Predictive ML Models: Crafted advanced machine learning models for varied data science projects.
Languages
Spanish
Native language
Italian
Elementary
A2
Certification
OpenAI Assistants with Langchain and Python
Interests
Surfing, skateboarding, climbing
Photography
Science
Technology
Nature and outdoors
Cooking
Bass guitar
Timeline
ML Engineer
ArgoXai
02.2024 - 07.2024
OpenAI Assistants with Langchain and Python
01-2024
Machine Learning and Artificial Intelligence Services on AWS
06-2023
Computer Scientist (Ai)
University College London
10.2022 - 04.2023
Audio Engineer
Freelance
01.2005 - 12.2023
MSc in Computer Science with Artificial Intelligence - Advanced programming, big data analytics, AI, and ML
University of York
BSc in Audio Engineering - Mathematics, physics, computer science, electronics, acoustics, and statistics
University of Chile
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