I built Fyxer.ai (http://Fyxer.ai) as a solo creator - an AI-driven platform that helps teams manage and automate email at scale. From personalized onboarding to 1:1 discovery calls, Fyxer bridges automation with human support to make communication effortless.
This project reflects my passion for designing intelligent systems that simplify daily workflows while staying user-centric. Every feature, line of code, and design decision was crafted by me to solve real team productivity pain points.
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Crafting fluid onboarding experiences using SwiftUI + Lottie.
AirMotion is a fitness-tracking app that needed a friendly, dynamic first impression.
I developed a multi-page onboarding sequence with Lottie animations for breathing and progress visuals.
Animations were integrated with SwiftUI states and timed transitions, ensuring both performance and delight.
Highlights:
Custom JSON animations exported from After Effects via Lottie.
Light/dark adaptive themes and haptic-linked transitions.
Configurable animation triggers with Combine + SwiftUI.
Designing calm experiences for complex health data.
Bloom is a wellness dashboard built to visualize hydration, mindfulness, and daily mood tracking in one calm, intuitive interface.
I crafted this entirely in Figma, using Auto Layout, variables, and Smart Animate to design responsive flows that feel light and fluid.
The visual language blends soft gradients, natural spacing, and soothing typography - designed to evoke balance and ease.
Key Skills:
Figma Β· Product Design Β· UI/UX Design Β· Auto Layout Β· Design System Β· Prototyping Β· Accessibility Β· Visual Design
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The next frontier for platforms like Ayulyfe lies in contextual intelligence.
By combining Ayurvedic logic trees (e.g., βVata imbalance β warm foods + grounding routinesβ) with modern ML, the system can:
Predict potential stress or digestion issues before they occur.
Personalize interventions based on climate, age, or regional dietary patterns.
Use NLP to translate traditional Sanskrit-based concepts into measurable, data-driven outputs.
This convergence of ancient ontologies and machine learning could form the backbone of a new HealthTech sub-domain: Computational Ayurveda.