AI-Powered, Insights-Driven Products
Hands-on applications demonstrating agentic AI, LLM orchestration, RAG architectures, and modern ML infrastructure. Built with production-grade security, governance frameworks, and enterprise-ready patterns.
Criterix
AI-Powered Resume Optimization
Local-first web application that transforms resume tailoring through conversational AI. Features an AI biographer that surfaces forgotten high-impact work and provides intelligent resume optimization tailored to specific job requirements.
- Conversational AI biographer with multi-mode chat (Interview, Gap Analysis, Career Coach)
- Gemini-powered RAG retrieval with semantic search and context-aware prompting
- Probe-based profile enrichment with automatic project/skill extraction
- Prompt-as-Code governance framework with version control and regression testing
CronAuth
Secure 2FA + Secret Vault
Privacy-first authenticator app with integrated secret management vault. Built with Flutter for cross-platform support, featuring enterprise-grade encryption and offline-first architecture.
- AES-256 encryption with PBKDF2 key derivation and platform-native secure storage
- Cross-platform security architecture (iOS, macOS, Android) with biometric auth
- TOTP code generation with RFC 6238 compliance and custom periods
- Comprehensive secret vault supporting passwords, API keys, recovery codes, and secure notes
Thrifty Trip
AI-Powered Inventory Management
Mobile-first inventory management platform for fashion resellers with integrated AI assistant. Combines comprehensive inventory tracking with semantic search, AI-powered pricing, and conversational analytics.
- Trippy AI assistant with streaming responses, grounding, and thinking modes
- Semantic search via Supabase Edge Functions with embeddings and hybrid retrieval
- Multi-agent AI features for price suggestions, listing evaluations, and metadata generation
- Edge Function orchestration for batch processing and AI cost tracking
Witten
Local-First AI Chat Client
Desktop Flutter app that stores conversations as .chat JSON files in a user-chosen folder tree. Provides LLM provider abstraction layer and file-based context management for project-organized AI conversations.
- File-backed conversation storage with version control and Git-friendly format
- LLM provider abstraction layer supporting Firebase Vertex AI with extensible architecture
- Context-aware prompting with folder tree organization and workspace management
- Local-first architecture with zero cloud dependencies and complete data ownership
Let's Build Enterprise AI Together
Interested in architecting agentic AI systems, LLM orchestration platforms, or discussing AI/ML infrastructure?