A sophisticated RAG (Retrieval-Augmented Generation) Telegram bot that transforms articles and documents into interactive knowledge bases. Upload PDFs/URLs and get AI-powered answers with source citations.

Prizolov Agent OS: The Open-Source Orchestration Framework for Autonomous AI Empires. Built by Dm.Andreyanov for RAG-driven business automation.

Sovereign AI for Saudi MOI Services | ALLaM-7B · Judge 9.03/10 · 8 Languages · 95.8% Price Accuracy | Cross-Lingual Hybrid RAG + KG Price Bypass + T-S-T Translation + 5-Layer Safety

Production-Ready AI Systems • Enterprise Architecture • Azure & Beyond

High-density RAG Semantic Search Engine & Quran Corpus (GEO/SEO Architecture)

Juro: A Retrieval-Augmented Generation AI Chatbot for Enhancing Legal Information Access in Resource-Constrained Settings

AI-First Full-Stack Engineer building production LLM systems. 3 years shipping RAG architecture, multi-model orchestration, real-time AI. Open to remote roles.

🛡️ Context-Aware AI SRE & Code Review Agent. Omni-SRE uses institutional memory (Supabase pgvector) and Groq (Llama-3.1) to find security vulnerabilities and architectural debt in Pull Requests with real-time GitHub Webhook synchronization

Chatbot de IA que responde a perguntas sobre meu currículo, utilizando Python, FastAPI, Streamlit e a arquitetura RAG com a API do Google Gemini.

Institutional-grade Trading Terminal. Next.js 14, GPT-4 RAG Architecture, Microsoft Qlib ML Signals, & Real-time Market Telemetry. Full-stack AI Ecosystem.

An AI-powered RAG SaaS that transforms static PDFs into interactive, voice-synthesized personas. Features real-time ultra-low latency conversations using Vapi and 11 Labs, built with a secure Next.js 15+ architecture, MongoDB indexing, and Clerk billing.

A feature-rich knowledge sharing platform for companies, featuring blogs, technical documents, notifications, and a full admin panel.

This project is a complete local RAG system for answering questions over document collections such as PDFs. It indexes documents, builds vector search indexes, routes queries to the right retrieval strategy, grades candidate results, and generates final answers with an LLM.

A next-gen AI/ML interview preparation platform featuring a secure Python code sandbox, dependency-graph learning paths, and RAG-based mock interview agents.

An enterprise-grade orchestrator for multilingual AI voice agents. Powered by Azure Speech and GPT-4o RAG to deliver zero-latency, hallucination-free support in any language.

A Retrieval-Augmented Generation (RAG) chatbot designed to ingest custom knowledge bases. Built with Python, it utilizes Groq for high-speed LLM inference and Pinecone for vector storage to process text data and deliver precise, context-aware conversational AI.

An enterprise-grade AI-native platform engineered for cognitive systems orchestration, autonomous workflows, and scalable infrastructure. Integrates intelligent agents, real-time data pipelines, and adaptive architectures to transform fragmented tools into unified systems, delivering performance, resilience, and up to 85% cost efficiency.

A Green AI Knowledge Governance Engine for Enterprise RAG. Features FinOps-driven ingestion, PII redaction middleware, and strict lifecycle management to ensure zero-trust, cost-optimized AI. Built with FastAPI, React, Qdrant, and GPT-4o.

AI-powered analytics platform built with a futuristic Solaris Night Glassmorphism UI. Upload CSV datasets, run real-time RAG-based analysis, execute Pandas-powered AI queries, and visualize live LLM inference streams with physics-driven Framer Motion animations.