Case Studies

Deep dives into AI solutions

Real problems, innovative solutions, measurable impact. See how I architect AI systems that users trust and businesses depend on.

Featured Case Study: Consumer AI

Featured Case Study

MomHive

AI-Powered Parenting Assistant

Founder & Lead EngineerJune 2024 – Present
MomHive platform interface
MomHive landing page showing privacy-first approach

Privacy-first landing page with anonymous AI support

MomHive AI chat interface providing postpartum support

Real AI conversation providing empathetic postpartum support

Next.js
OpenAI
Firebase
Image Recognition
Community Platform

Problem

Mothers often struggle to find fast, reliable, and affordable resources for childcare, pediatric care, and everyday parenting challenges. Existing platforms are fragmented, time-consuming, and lack AI-driven personalization.

Solution

  • Engineered AI-powered parenting assistant for instant answers and solutions
  • Integrated image recognition + AI chat for photo-based recommendations (rashes, scrapes)
  • Built with Firebase authentication + AI-first chat interface for secure onboarding
  • Designed as community hub where moms can connect, share, and access tailored resources

Impact

  • 🚀 First-of-its-kind AI parenting platform blending healthcare, childcare, and community
  • 💡 Enabled real-time support for moms, reducing forum scrolling and appointment waits
  • 🌍 Scalable framework for expansion into pediatric telehealth and local childcare integrations
  • ✨ Pioneering the future of parenting platforms with trusted AI solutions
"AI that moms can trust."
Key Takeaway

MomHive demonstrates how AI can solve real-life problems at scale, creating trusted technology that empowers parents in their most vulnerable moments.

Featured Case Study: Research & Infrastructure

Featured Case Study

AvyraX-AI

Revolutionary LLM-to-LLM Communication Platform

Founder & Lead Software Engineer2025 – Present
AvyraX-AI platform interface
AvyraX-AI professional logo and branding

Professional brand identity for revolutionary AI platform

AvyraX-AI platform interface showing AI dialect configuration

Live platform: GPT-4 to Claude-3 neural translation interface

LLM Architecture
Cryptographic Protocols
Distributed Systems
AI Research
Next.js
Python

Problem

Modern AI systems operate in isolation, creating critical bottlenecks in autonomous reasoning. Despite advances in individual model capabilities, the lack of secure, verifiable inter-model communication prevents the emergence of collaborative AI networks that could solve complex, multi-domain problems requiring distributed intelligence.

Solution

  • Architected breakthrough communication protocols enabling secure LLM-to-LLM dialogue and reasoning exchange
  • Developed cryptographically verifiable interaction frameworks ensuring trust and authenticity in AI-to-AI communications
  • Engineered distributed reasoning networks where models can share context, validate insights, and collaborate autonomously
  • Built foundational infrastructure for next-generation AI trust networks and autonomous agent ecosystems

Impact

  • 🧠 Pioneered the first experimental platform for autonomous AI-to-AI collaboration at scale
  • 🔐 Introduced cryptographic verification protocols for trustworthy inter-model communications
  • 🌐 Established foundational architecture for distributed AI reasoning networks
  • ⚡ Positioned as critical infrastructure for the future of autonomous agent collaboration
  • 🚀 Attracted $20K+ in early funding for revolutionary AI communication research
"The future of AI is collaborative."
Key Takeaway

AvyraX-AI represents a paradigm shift from human-AI interaction to AI-AI collaboration, laying the groundwork for autonomous intelligence networks that could revolutionize how complex problems are solved across industries.

More Case Studies Coming Soon

YvarX1 AI Model Builder

Detailed breakdown of the next-generation AI/ML platform empowering developers with cutting-edge tools to build custom LLMs. Technical deep-dive into model architecture, training pipelines, and developer experience coming soon.

Model TrainingDeveloper ToolsML InfrastructureAPI DesignPerformance Optimization