Usman Ahmed
Full Stack & AI Engineer
Ready for work
Usman is ready for their next project!
InsightSync AI - Autonomous Agentic Orchestrator
InsightSync AI is a production-grade multi-agent support and operations orchestrator. It automates ticket routing, sentiment classification, and tool-based action execution (CRM sync, email drafting). Built on LangChain and Gemini Pro, it leverages autonomous agent personas with local memory (ChromaDB context caching) and tool calling capabilities. Provides a real-time monitoring dashboard with live agent communication graphs powered by WebSockets.
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DocuMind AI - Intelligent RAG Document Analysis Platform
DocuMind AI is an enterprise-grade Retrieval-Augmented Generation (RAG) and document intelligence platform. It enables users to upload massive unstructured document repositories (PDFs, DOCX, TXT) and interact with them via multi-agent conversational interfaces. Features semantic chunking, dense + sparse hybrid search with Pinecone, document routing, and complex multi-document synthesis. Integrated LangGraph to coordinate hierarchical agents for cross-document validation, automated report generation, and structured metadata extraction.
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Granit Ai - Enterprise Financial & Compliance Management Platform
Granit Ai is an enterprise financial and compliance management platform for managing corporate entities, capital structures, and regulatory filings. It provides master data management for entities, shareholders, and related parties; capital tracking with class/sub-class hierarchies and change history; document generation and PDF form filing; timesheet and billing workflows; and audit logging. The app uses a modular architecture with role-based access control, dynamic table generation, and real-time data visualization. It supports complex capital reorganizations, investor management, and compliance tracking for financial services organizations.
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ReTeam Energy
ReTeam Energy is an AI-enhanced energy efficiency management platform designed to help users assess and optimize energy consumption in buildings. Leveraged machine learning and LLM prompt chaining to automate building energy auditing, analyze utility bills, and dynamically generate retrofit recommendations (estimating payback periods, ROI, and carbon offset details).
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