Danilo Barros

Danilo Barros Location: Brazil Cell: - Email:- Professional Summary Experienced professional with 7+ years in back-end development, data analysis, and project management. Specializing in scientific experimental design, machine learning, and ETL development, with a focus on team leadership and operational excellence. Currently, as a scientist and Secondary Lead at Turing, I lead high-performance teams, ensuring quality, efficiency, and innovation, particularly in generating data for improving and testing large language models (LLMs). I combine technical expertise with decisive leadership to foster collaboration and achieve outstanding results. Professional Experience ● ● ● ● ● Secondary Lead, Turing (Current) Currently, I manage teams within a project called SWE-bench, ensuring timely delivery and high-quality results (quality, throughput, and ensuring the team leads are doing a good job in their leadership). Evaluate and enhance the performance of team leaders and trainers. Develop and track key performance metrics, reporting to senior management. Facilitate effective communication across teams and stakeholders. Team Lead, Turing (Nov, 2023 - Jun, 2024) Guided a dedicated team of trainers within a project called Superoversights, helping my team to generate datasets for a leading AI model in the industry. Ensuring the data meets high-quality standards, helps improve the model's effectiveness. Supporting the team's growth by enhancing their skills and encouraging a culture of teamwork, good quality, and expected throughput. Providing in-depth analyses and sharing important metrics in regular meetings, aiding in making smart decisions and setting clear goals. Brainstorming sessions to boost the quality of our data and how we work, making sure our efforts positively shape the model's development. AI Trainer, Turing (Dec, 2022 - Nov, 2023) Generated datasets as an LLM trainer for the stakeholders to improve LLM capabilities in understanding and generating code, and searching through the web. I’ve generated, annotated, and labeled code, and model outputs. Machine Learning Engineer, AlanaAI (Oct, 2022 - Feb, 2023) Designing and developing advanced machine learning systems. I primarily utilized knowledge graphs and various graph tools to structure and process data efficiently. Leveraging NLP tools and Python libraries, I created and refined models to enhance the AI's performance in understanding and generating human language. My work involved extensive coding in Python, managing and contributing to GitHub repositories, and collaborating closely with cross-functional teams to integrate and deploy these models into production environments. I also kept abreast of the latest developments in machine learning and data science, ensuring that our solutions were both innovative and effective. Data Scientist & Machine Learning Engineer (Jan, 2022 - Sep, 2022) Conducted exploratory data analysis using statistics and machine learning techniques. Developed ETL processes for data manipulation, working with MongoDB, MySQL, and AWS S3. Deployed solutions using Docker, Kubernetes, and Apache Airflow. Managed multiple tasks competently and worked well under pressure to deliver high-quality results. Skills ● ● ● ● ● ● ● Programming: Python, R Data Analysis: Exploratory analysis, statistics, machine learning Database Management: MongoDB, MySQL, AWS S3 ETL Development: Data manipulation, Docker, Kubernetes, Apache Airflow Project Management: Team leadership, performance evaluation, metrics tracking Neuroscience: Neuromodulation, EEG analysis, MNE-Python AI and Machine Learning: Model training, fine-tuning, error analysis, annotation too Study ● ● ● ● ● Master's Degree in Neuroscience - Universidade Federal do ABC (UFABC) Bachelor's Degree in Portuguese and Linguistics - Universidade de São Paulo (USP) Scientific Initiation in Online Linguistic and Literary Education Tools - "Exploring the H5P Tool for an Arabic Language and Literature Course" Licentiate in Pedagogy and Education - Centro Universitário São Camilo Bachelor's Degree in Communication and Media Studies - Faculdades Integradas Campos Salles Languages ● ● ● Portuguese: Native English: Proficient Spanish: Understandable Side Projects ● ● The Effect of Non-Invasive Neuromodulation on Brain-Body Synchrony in Basketball Athletes Investigated the effects of HD-tDCS on brain synchrony of basketball athletes using PLV. Analyzed interactions between different EEG channels using a linear mixed model. Conducted network analysis to identify central channels and sub-networks. Contributed to the understanding of neuromodulation in sports and its implications for athletic performance. Influence of Solution Colour and Brain Electrical Activity on Exercise Performance Co-authored this paper published in Medicine & Science in Sports & Exercise. The study provided significant findings on how solution color affects brain activity and exercise performance, contributing valuable insights to the scientific community.