Open to opportunities

Jerovin Floyd

@jerovinfloyd

Message

I build on-device AI and cross-platform apps, turning data into practical healthcare and accessibility products.

India

Message

What I'm looking for

I’m looking for a role where I can build and deploy on-device ML, integrate data/AI pipelines, and ship user-focused products—especially in healthcare or accessibility—using practical engineering with strong model performance.

I’m a computer science student who builds software that uses AI directly where it matters—on-device. I’ve developed apps and ML pipelines that connect real-world signals to actionable recommendations.

As a Software Developer Research Intern at Qatar University, I developed Vitalyz, a healthcare platform integrated with a wristband using TensorFlow, Flutter, and Firebase. It analyzes biometric vitals (including sweat levels) on-device to help identify dehydration, heat strokes, organ failure, and other abnormal physiological conditions.

I also built ML models as a Remote AI Intern, personalizing educational content from learner interaction and behavioral patterns, and integrating AI-powered recommendation systems into production workflows. I’m currently the founder of ChillGui, a privacy-first On-Device Edge AI accessibility app, and I’ve earned recognition at the Aurora Global Hackathon 2026.

Experience

Work history, roles, and key accomplishments

Current

ChillGui Founder

Current

Startup Venture ChillGui

Jan 2026 - Present (6 months)

Founded ChillGui, a privacy-first on-device edge AI accessibility app that transforms existing apps into simplified, senior-friendly interfaces. Filed an Indian patent application and was awarded Overall Winner at the Aurora Global Hackathon 2026.

Edge AI On Device Inference Privacy First Accessibility

Software Developer Research Intern

Qatar University

May 2025 - Jul 2025 (2 months)

Developed Vitalyz, a healthcare platform integrated with a wristband to analyze biometric vitals (e.g., sweat levels) for dehydration and other health risks using on-device ML. Built the platform using TensorFlow, Flutter, and Firebase.

TensorFlow Flutter Firebase On Device ML Biometric Vitals Analysis Machine Learning

Remote AI Intern

SmartED Innovations

Jun 2024 - Aug 2024 (2 months)

Developed ML models to personalize educational content using learner interaction data and behavioral patterns. Collaborated with data scientists to evaluate model performance and integrate AI-powered recommendation systems into production workflows.

Machine Learning Model Evaluation Recommendation Systems