I am a Developer focused on building systems for complex problem solving. My flagship project, ENTAERA, is an hybrid research agent that dynamically selects tools, maintains long term memory, and adapts its strategy to optimize for both performance and cost efficiency.
I am training for end to end development of AI systems, from initial API integration and debugging to building robust, multi provider frameworks that solve real world challenges.
Experimental Multi-Provider AI Agent
A CLI-based AI agent that routes queries across multiple providers (Ollama, Google Gemini, Perplexity, Azure OpenAI) with conversation memory and automatic fallbacks. Built as a learning project to understand async patterns, API orchestration, and memory systems.
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- Multi-Provider Routing: Ollama (local), Google Gemini, Perplexity, Azure OpenAI with fallback chains
- Agent Specialization: 5 agents (Assistant, Code, Data, Creative, Research) with keyword routing
- Conversation Memory: TF-IDF-based retrieval with persistent pickle storage (upgrading to embeddings)
- Async Architecture: Non-blocking API calls with timeout and retry handling
- Error Resilience: Exponential backoff, automatic provider fallbacks, graceful degradation
AI-Powered Presentation Generator (Hackathon)
Transforms screenshots, images, and notes into presentations using AI driven content analysis and theme generation.
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- Automated Content Extraction: Using Google Gemini Vision API
- AI Theme Generator: Smart color palette and layout suggestions
- Drag & Drop Interface: Intuitive content organization
- Multiple Export Formats: PDF, PPTX, HTML support
- Next.js 14 with App Router for modern UI architecture
- TypeScript with strict configuration for type safety
- Tailwind CSS for responsive, accessible design
- CI/CD Pipeline with health monitoring for production readiness
