┌SAGAR // AI SYSTEMS
PRODUCTION RUNTIME • v2.6.0┐
AI Systems & Autonomous Agent Architecture
STATE
A
PROBLEM.
SPARK
THE
AGENT.
SAGAR
SHIPS.
[ TAP ANYWHERE TO ENTER ]
ENTER SYSTEM→
12 / 17 · AI & Financial Systems

Multi-Agent Portfolio Orchestration

An enterprise-grade hybrid portfolio platform with autonomous RAG-driven decisions.

Multi-Agent Portfolio Orchestration
AI & Financial Systems
Architecture & Overview

A multi-agent hybrid portfolio management platform featuring an autonomous 3-stage RAG (Retrieval-Augmented Generation) pipeline, a confidence gate that decides when to escalate to an LLM, a dual-mode shell, direct broker API integration, and a full admin portal.

The Problem

Financial decision systems often rely on static heuristics or hallucination-prone LLMs without deterministic verification or risk confidence gating.

The Approach & Implementation

Designed a 3-stage RAG retrieval engine with dynamic vector embeddings, confidence scoring thresholds for LLM escalation, and real-time broker execution APIs.

Measurable Outcome

Delivered deterministic, audited portfolio rebalancing recommendations with transparent provenance for every suggested asset allocation.

Technologies & Skills
TypeScriptPythonRAG & EmbeddingsLLM OrchestrationBroker APIsFastAPI
Key Verification Metrics
3-stage autonomous RAG pipeline
Confidence-gated LLM escalation logic
Direct broker API execution layer
Dual-mode interactive terminal shell
Project Availability
View Repository
Codebase showcase · Live deploy upon request