Daniel Cañadas
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Daniel Cañadas Email & Phone Number

Computer Science Expert AI Training at Scale AI
Location: Quito, Pichincha, Ecuador 4 work roles 3 schools
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Current company
Role
Computer Science Expert AI Training
Location
Quito, Pichincha, Ecuador
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Daniel Cañadas is listed as Computer Science Expert AI Training at Scale AI, a with 302 employees, based in Quito, Pichincha, Ecuador. AeroLeads shows a matched LinkedIn profile for Daniel Cañadas.

Daniel Cañadas previously worked as Machine Learning Engineer at Anyone Ai and Data Science Teacher at Le Wagon. Daniel Cañadas holds Master'S Degree In Information Systems With A Mention In Data Science from Universidad Hemisferios.

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Scale AI

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Profile bio

About Daniel Cañadas

Experienced Machine Learning Engineer. Highly enthusiastic about Artificial Intelligence and Machine Learning, and adept at analyzing data and developing models in Python, utilizing tools such as Pandas, Numpy, Scikit-learn, AWS, Tensorflow, and Pytorch. Continuously exploring new tools and techniques to stay up-to-date in the field, and passionate about tackling new challenges and learning. Seeking a role in a company where I can leverage my analytical thinking and expertise to achieve goals and drive success.

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Daniel Cañadas's current company

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Scale AI
Scale Ai
Computer Science Expert AI Training
san francisco, california, united states
Website
Employees
302
AeroLeads page
4 roles

Daniel Cañadas work experience

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Computer Science Expert Ai Training

Current

- Optimized AI Model Performance: I skillfully implemented advanced techniques to rank and fine-tune code responses generated by AI models. This ensured the delivery of high-quality and contextually relevant results to our clients.- Strategic Prompt Design: My expertise lies in crafting well-structured and effective prompts. These prompts guide AI models, providing detailed reasoning and context, resulting in accurate and meaningful code responses. The goal is to enhance model understanding and output.- Code Enhancement and Debugging: Collaborating closely with AI models, I meticulously edit their generated code. This process rectifies bugs, improves performance, and aligns outputs with industry standards resulting in more reliable and efficient solutions for our clients.-Cross-Industry Expertise: Leveraged deep expertise to support major organizations across various sectors, including some of the biggest technology companies.-AI Model Supercharging: Played a pivotal role in utilizing Reinforced Learning with Human Feedback (RLHF) to assist clients in building robust AI models, driving critical business insights, and enhancing operational efficiency across diverse industries.

Jan 2024 - Present

Machine Learning Engineer

Anyone AI, invest in people, preparing them for the jobs of the future, and helps to solve the existing talent shortage inthe field of AI.● Conducted sentiment analysis on product reviews for a movie streaming service, achieving successfuldetection of positive and negative opinions through pre-processing and vectorizing text data.● Achieved 82% accuracy in fine-grained image classification for the vehicle make and model predictionfrom unstructured e-commerce images, using convolutional neural networks.● Predicted a person's ability to repay their debt in home credit risk analysis by achieving +0.72 ROC AUCusing supervised models such as DecisionTree, XGBoost, and LightGBM.● Developed a salary prediction model for sports players that decreased the mean absolute error rate by50%, ultimately selecting a decision tree regressor as the final model.● Deployed the image classification model in AWS instances using Docker and an API-based web-serviceapplication, ensuring efficient and reliable functionality.Main technologies: Python, Numpy, Pandas, Scikit-learn, Keras, PyTorch, Docker, AWS.

Sep 2022 - Dec 2023

Data Science Teacher

Argentina

A company dedicated to Immersive boot camps in Web Development and Data Science● Assisted students in resolving exercises for the Le Wagon Bootcamp, providing guidance and supportthroughout the process.● Supported students with their final project, ensuring they met the minimum requirements anddelivered their projects successfully.● Received positive feedback from students, who found the help provided to be clear, useful, and polite,as reflected in their resumes.● Worked with an average of fifteen to twenty-five students per boot camp, ensuring personalizedattention and support.Main Technologies: Python, Pandas, Numpy, Scikit-learn, matplotlib, and Seaborn.

Apr 2021 - Jan 2022

Mechanical Engineer At Ceus Workshops

Ceus Talleres

Industrial establishments in which operations are conducted for the restitution of the normal conditions of the stateof operation of the vehicle or its equipment and components.● Managed customer service, engaging with clients to determine their needs and requirements for theirvehicles. Created worksheets detailing the jobs to be done, as well as any comments or policies neededfor the work to proceed.● Supervised the work on all incoming vehicles, ensuring that all tasks were completed correctly andproviding guidance to employees as needed.● Facilitated the delivery of all vehicles to customers, explaining all completed work and answering anyquestions they may have had.● Instructed and guided employees on specific tasks, ensuring that all tasks were completed to thehighest possible standard.

Jul 2017 - Dec 2017
Team & coworkers

Colleagues at Scale AI

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3 education records

Daniel Cañadas education

Data Scientist

Coding bootcamp of Data Science with Python: Data Analytics with SQL, BigQuery, Pandas, Numpy, and Matplotlib; Statistics with Scipy.

FAQ

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What company does Daniel Cañadas work for?

Daniel Cañadas works for Scale AI.

What is Daniel Cañadas's role at Scale AI?

Daniel Cañadas is listed as Computer Science Expert AI Training at Scale AI.

Where is Daniel Cañadas based?

Daniel Cañadas is based in Quito, Pichincha, Ecuador while working with Scale AI.

What companies has Daniel Cañadas worked for?

Daniel Cañadas has worked for Scale Ai, Anyone Ai, Le Wagon, and Ceus Talleres.

Who are Daniel Cañadas's colleagues at Scale AI?

Daniel Cañadas's colleagues at Scale AI include Seng X., Deivith Enrique Amaya Lopez, Kevin Xu, Emanuele Gullo, and Mohamed Shaaban, Phd.

How can I contact Daniel Cañadas?

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What schools did Daniel Cañadas attend?

Daniel Cañadas holds Master'S Degree In Information Systems With A Mention In Data Science from Universidad Hemisferios.

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