"Turning high-dimensional vector space into deterministic software, and coffee into resilient code."
Current Operations:
- Architecture: Multi-LLM Consensus & Logical Verification Networks
- Memory Systems: Retrieval-Augmented Generation (RAG) with Persistent Context
- Models & Pipelines: Fine-Tuning & High-Throughput Inference Workflows
- Primary Directive: Building Zero-Downtime Autonomous AI Workflows| System and Repository | Stack | Architectural Overview |
|---|---|---|
| Artemis-Consensus | Python Multi-LLM |
Multi-LLM Ensemble and Verification System Aggregates responses from distinct model APIs with automated consensus voting and logical verification. |
| ChatBot_With_Memory | Python LangChain RAG |
Conversational RAG Engine Retains persistent conversation state while querying unstructured PDF documentation via vector search. |
| AI-Career-Guidance | TypeScript React AI |
Interactive Career Navigation System Provides dynamic career mapping, skill assessment, and personalized learning tracks. Link: Live Demo |
| AD-Blocker | JavaScript WebExt |
Browser Content Filtering Extension Lightweight, low-latency script filtering out tracking telemetry and intrusive web elements. |
Architected by Shaik Umran | Powered by Modern AI Infrastructure


