Dante Suazo
Co-Founder / Product Engineer
About
MIT senior (Course 6-4, CS + AI) building Cync, an AI-powered women's health platform that turns LLMs and cycle-based modeling into personalized fitness, nutrition, and mindfulness recommendations.Most excited by applied AI and product engineering roles at early-stage or AI-focused companies — places where shipping fast and thinking hard about what to build aren't separate jobs.
United States
Cambridge
Research
Full-Stack Development, Applied Machine Learning, Large Language Models (LLM), Cognitive Science, Entrepreneurship, Python (Programming Language), Research Skills, Test Preparation, Data Driven Teaching, Curriculum Development, Mentoring, Educational Technology, Probability Theory, Data Science, Mathematics, Linear Algebra, Attention to Detail, Machine Learning, Convolutional Neural Networks (CNN), Pattern Recognition
Experience
Co-Founder / Product Engineer
Cync
• Building an AI-powered women's wellness platform that delivers personalized fitness, nutrition, and mindfulness recommendations using LLMs and biological signals • Designed and shipped a full-stack menstrual cycle prediction system combining Bayesian inference with a Hidden Semi-Markov Model • Built LLM pipelines for real-time personalized workout and recommendation generation • Architected backend infrastructure on AWS (Lambda, AppSync, DynamoDB) • Lead a team of 3 interns shipping core product features
Tutor
ParagonalPrep
Needham, MA
• Developed personalized study plans for high school students to excel on standardized tests (ACT, SAT, SSAT) at ParagonalPrep. • Implemented strategic test-taking techniques and reinforced core academic skills to boost students' confidence and performance. • Collaborated with parents to provide regular progress updates and ensure tailored support for measurable improvement.
Researcher
Massachusetts Institute of Technology
United States
• Conducted data science research at the MIT Media Lab analyzing wearable data for sleep patterns and circadian rhythms. • Developed Python scripts to parse sensor data from Firebase and Google Cloud. • Built interactive dashboards to visualize key findings for the research team.
Education
Massachusetts Institute of Technology
Pursuing an interdisciplinary curriculum focused on machine learning, computational cognitive science, and data-driven decision strategies. Engaged in hands-on research at the MIT Media Lab, where I developed Python-based solutions for wearable data analysis. Passionate about leveraging emerging technologies to solve real-world problems and create positive social impact
Dante Suazo's Contact Information
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