►Responsible for designing, developing, and deploying artificial intelligence (AI) and machine learning (ML) solutions. ►Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions. ►Design and develop AI models, algorithms, and applications using Java and Python programming language. ►Utilize Kubernetes and Microservices architecture to build scalable and efficient AI systems. ►Implement, optimize, monitor and maintain AI… Show more ►Responsible for designing, developing, and deploying artificial intelligence (AI) and machine learning (ML) solutions. ►Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions. ►Design and develop AI models, algorithms, and applications using Java and Python programming language. ►Utilize Kubernetes and Microservices architecture to build scalable and efficient AI systems. ►Implement, optimize, monitor and maintain AI solutions on AWS cloud infrastructure, identifying and addressing any issues or bottlenecks that may arise. ►Leverage MySQL database for data storage and retrieval, ensuring data integrity and performance. ►Apply AI tools and frameworks to analyze large datasets and derive meaningful insights. ►Conduct thorough testing and debugging of AI models to ensure accuracy and performance. ►Collaborate with engineers to deploy AI models into production environments. ►Stay up-to-date with the latest advancements in AI technologies and best practices ►Document technical specifications, system architecture, and development processes for AI projects.  ►Provide technical guidance and mentorship to junior developers on AI-related projects. Show less

► Responsible for creating and deploying machine learning models using PyTorch, TensorFlow, and Scikit-learn for various projects.► Worked as part of a highly selective fellowship program designed to accelerate the careers of top talent across Latin America. ► Stack up to +650hs of training in NLP, Computer Vision, and Predictive Analysis (as well as some MLOps practices using AWS, Docker, Linux, Flask, and Reddis)► Implemented an Apache Airflow pipeline to retrieve information… Show more ► Responsible for creating and deploying machine learning models using PyTorch, TensorFlow, and Scikit-learn for various projects.► Worked as part of a highly selective fellowship program designed to accelerate the careers of top talent across Latin America. ► Stack up to +650hs of training in NLP, Computer Vision, and Predictive Analysis (as well as some MLOps practices using AWS, Docker, Linux, Flask, and Reddis)► Implemented an Apache Airflow pipeline to retrieve information about e-commerce information from SQLite databases and Dbeaver. Automated the process of charting and reporting, which reduced the time it took to generate reports from hours to minutes. Improved the accuracy of reports and increased the visibility of data to decision-makers.► Built a machine learning model and implemented a pipeline to predict whether a person applying for a home credit will be able to repay their debt or not. I used Area Under the ROC Curve (AUC) as the evaluation metric, and worked with multiple files with different information about loans taken. Model implemented using Python, Pandas, Scikit-learn, Matplotlib, and Seaborn.Technologies used: Pandas, Numpy, PyTorch, TensorFlow, Scikit-learn, Airflow, Docker, Python. Show less

► Created pricing algorithms to guarantee product profitability using real time price of raw materials by web scrapping mayor providers, resulting in a constant 40% gross profit margin, and raising last year net profit by 10%.► Developed innovative nutritional estimation models that accurately predict nutrient content, based on numerical multiobjective optimization techniques, leading to more efficient and effective product development.► Designed and implemented a highly effective… Show more ► Created pricing algorithms to guarantee product profitability using real time price of raw materials by web scrapping mayor providers, resulting in a constant 40% gross profit margin, and raising last year net profit by 10%.► Developed innovative nutritional estimation models that accurately predict nutrient content, based on numerical multiobjective optimization techniques, leading to more efficient and effective product development.► Designed and implemented a highly effective webpage that effectively communicates product information to customers and developed pricing algorithms that optimize profitability, resulting in significant gains for the company.Technologies used: Python, Pandas, Matlab, PowerBI, Excel, SQL, WordPress, Amazon AWS EC2. Show less

► Worked with project managers to develop and implement strategies for the development of new biotechnology product lines based on available data from market research and analysis of quotations, increasing the revenue by 50% in 2 years.Technologies used: Python, Pandas, Matlab, PowerBI, Excel, SQL.

► Collaborated with technical teams, customer service representatives, and stakeholders across multiple countries to design and deploy a comprehensive data collection strategy for microbiome analysis in poultry and swine.► Conducted extensive exploratory data analysis on microbiome and proteome data to investigate correlations between expression levels and microbiome distribution for targeted diseases. NDA for the results.Technologies used: Python, Excel