AI / MLIn Development2024 — Present

Corage AI — Agentic Reasoning & Adaptive Knowledge Platform

Role: AI Research & Systems Lead

Next-generation AI reasoning platform empowering domain specialists with persistent memory, autonomous validation, and explainable inference.

Corage AI — Agentic Reasoning & Adaptive Knowledge Platform

Technology Stack & Libraries

PythonPyTorchLangGraphFastAPINext.jsVector DBTailwind CSS

The Challenge / Problem

Context & Objectives

Standard foundation model completions fail on complex sequential problem solving due to drift, lack of intermediate verification, and context window saturation.

Architectural Solution

Engineered Approach

Engineered a directed acyclic graph (DAG) execution framework where specialized agent nodes propose theorems, verify bounds, and synthesize proofs with self-correction.

System Architecture & Pipeline

User Goal -> Planning Node -> Sub-Task DAG Generator -> Execution Agents -> Symbolic/Empirical Validator -> Synthesis Node.

Corage AI explores agentic multi-step reasoning workflows designed to overcome hallucination in complex mathematical and analytical tasks. By structuring LLMs into hierarchical planner and critic topologies with verifiable step citations, Corage delivers high-trust reasoning pipelines.

Engineered Capabilities & Innovations

Hierarchical agent graph with dedicated planning, validation, and critique nodes

Persistent episodic memory allowing multi-session research continuity

Verifiable citation links for every intermediate deduction step

Interactive visual graph explorer showing real-time agent thought states

Empirical Results & Benchmarks

Currently under active research and prototyping, focusing on high-accuracy mathematical deduction and complex multi-document reasoning.

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Have Questions About This System?

I am always glad to discuss technical architecture, benchmarks, or potential collaboration.

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