Rodolfo V.
Senior Software Engineer
Experience
Apr 2021 - Present
4 years 8 monthsNew York, United States
Senior Software Engineer
Sesame
- Led the evaluation of AI models in healthcare applications, focusing on performance, accuracy, and reliability for patient data analysis.
- Analyzed AI model outputs to identify discrepancies and provided feedback that improved diagnostic accuracy by 15%.
- Collaborated with data scientists and engineers to align AI models with healthcare industry standards and regulatory requirements.
- Documented evaluation findings and optimization recommendations, leading to a 20% reduction in model deployment time.
- Conducted extensive tests to validate model performance under various scenarios, enhancing reliability in clinical settings.
- Applied analytical skills to troubleshoot model issues, resolving critical bugs that impacted patient care workflows.
- Worked independently in a remote setup to manage AI model assessments, ensuring consistent quality and adherence to timelines.
- Integrated mechanical engineering insights into AI evaluations for medical device simulations, improving model relevance.
- Optimized machine learning algorithms for predictive analytics in healthcare, achieving a 10% boost in prediction accuracy.
- Facilitated team workshops on AI model best practices, fostering knowledge sharing and skill development.
- Developed automated testing scripts for AI models, increasing test coverage by 25% and reducing manual effort.
- Evaluated AI-driven tools for mechanical components in healthtech, ensuring compliance with safety and performance standards.
- Provided expert feedback on model architectures, leading to more robust and scalable AI solutions in production.
- Collaborated on cross-departmental projects to integrate AI with electronic health records, enhancing data interoperability.
- Mentored junior engineers on AI evaluation techniques, improving team capability and project outcomes.
- Conducted risk assessments for AI models in healthcare, mitigating potential issues and ensuring patient safety.
- Implemented continuous monitoring for AI systems, enabling real-time performance tracking and proactive improvements.
- Leveraged problem-solving skills to address data bias in models, promoting fairness and equity in healthcare applications.
Jan 2018 - Jan 2021
3 years 1 monthAustin, United States
Software Engineer
Code&Care
- Developed and implemented AI model evaluation frameworks for engineering projects, improving accuracy and efficiency.
- Performed in-depth analysis of machine learning outputs, providing actionable insights for model enhancement.
- Partnered with cross-functional teams to integrate AI solutions, ensuring compliance with mechanical engineering standards.
- Created comprehensive documentation for model evaluations, supporting transparency and continuous improvement efforts.
- Executed rigorous testing protocols to validate AI model reliability, reducing errors and increasing trust in outputs.
- Utilized advanced problem-solving techniques to address complex challenges in AI model performance and deployment.
- Managed remote collaboration effectively, coordinating with stakeholders to achieve project goals and deadlines.
- Applied mechanical engineering principles to tailor AI evaluations, resulting in more context-aware and effective models.
Apr 2014 - Dec 2017
3 years 9 monthsAustin, United States
Software Developer
Syberry Corporation
- Evaluated AI models for mechanical engineering applications to assess performance, accuracy, and reliability.
- Analyzed model outputs and provided detailed feedback for improvement, enhancing model quality and alignment with standards.
- Collaborated with development teams to ensure AI models met industry standards and project requirements.
- Documented findings and recommendations for model optimization, facilitating iterative improvements and team alignment.
- Conducted tests to validate model performance and reliability, identifying and resolving issues in real-world scenarios.
- Applied strong analytical and problem-solving skills to troubleshoot and refine AI models in engineering contexts.
- Worked independently and remotely to manage evaluation tasks, ensuring timely delivery and high-quality outcomes.
- Leveraged expertise in mechanical engineering to contextualize AI model assessments and drive relevant optimizations.
Summary
Senior Software Engineer with 12 years of experience in software development specializing in AI, machine learning, and engineering applications.
Proven ability to evaluate AI models, analyze outputs, and collaborate with teams to ensure industry standards.
Strong analytical and problem-solving skills, with expertise in mechanical engineering contexts and remote work.
Languages
English
NativeEducation
Aug 2008 - May 2012
University of Texas – Austin
Bachelor of Science · Computer Science · Austin, United States
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