Andres Vasquez Machine learning engineer at Anyone AI

Machine Learning Engineer Manager

Cuesta Partners

Oct 2025 - Current (1 year)

Machine learning engineer

Anyone AI

Feb 2023 - Current (3 years 8 months)

- Worked as part of a highly selective fellowship program designed to accelerate the careers of top talent across Latin America.
- Responsible for creating and deploying machine learning models using PyTorch, TensorFlow, and Scikit-learn for various projects.
- 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 visi

Senior Machine Learning Engineer

Provectus

Sep 2024 - Oct 2025 (1 year 2 months)

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Artificial Intelligence Technical Lead

Tenant Evaluation LLC

Feb 2024 - Sep 2024 (8 months)

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Sr. Machine Learning & AI Engineer

Tenant Evaluation LLC

Aug 2023 - May 2024 (10 months)

►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 an

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Machine Learning Engineer

anyoneai

Jan 2022 - Aug 2023 (1 year 8 months)

► 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 decis

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Data Scientist

Grinsup

Sep 2020 - Jan 2022 (1 year 5 months)

► 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

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Data scientist

Grinsup

Sep 2019 - Jan 2023 (3 years 5 months)

- Created pricing algorithms to guarantee product profitability using real-time price of raw materials by web scrapping major providers, resulting in a constant 40% gross profit margin, and raising last year's 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

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Data analyst

Industrias centricol S.A.S.

Sep 2019 - Sep 2021 (2 years 1 month)

- 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.

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Data Analyst

Industrias centricol S.A.S

Sep 2019 - Sep 2020 (1 year 1 month)

► 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.

Innovation data science

Premex

Jan 2018 - Jul 2018 (7 months)

- 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.

Innovation Data Science

Premex

Jan 2018 - Jul 2018 (7 months)

► 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

Andres Vasquez

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Andres Vasquez

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