Diagnostic SummaryMETRIC.SYS
ENGINEERChenchukrishna Akkarapalli
TIMELINEJan - Aug 2026
CATEGORYBRE-CRE Engine
STACK_BASEFastAPI + Rust
Loan Rule Engine — Multi-Tenant Automated Loan Decisioning & Document Extraction
01 // Technical Overview
Built a multi-tenant BRE–CRE platform that automates the loan journey from document upload to bank recommendation. Users upload loan-related documents sequentially, while Rust-based document engines extract required information automatically. The FastAPI BRE–CRE engine processes eligibility rules and recommends suitable banks without manual form filling.
02 // Core Architecture
Built a Next.js multi-tenant loan platform with secure tenant isolation and challenge-based authentication.
Developed Rust document-processing engines and automated document-to-data pipelines, eliminating manual form filling.
Built a FastAPI BRE–CRE recommendation engine with configurable bank eligibility rules for multi-bank loan recommendations.
Designed a scalable, modular architecture supporting multiple tenants, banks, and loan products.
Implemented data ingestion and normalization services for multi-format financial data.
Enforced strict data isolation, audit logging, and role-based access across multi-tenant lending institutions.
03 // Flow & Methodology
1Document Upload → Sequential multi-format loan file ingestion
2Rust Engine Extraction → Automated document-to-data pipeline without manual entry
3Data Normalization → Ingestion & normalization of applicant financial data
4FastAPI BRE-CRE Engine → Configurable bank rule execution & multi-bank matching
5Tenant & Security Layer → Challenge-based auth & isolated multi-tenant architecture
6Recommendation Delivery → Tailored bank approval recommendations & tracking
04 // Tech Stack & Environment
Core Tooling TelemetrySYS.READY
›Frontend: Next.js 16 & TypeScript
›API & Decisioning: FastAPI & Python
›Parsing Engines: Rust Document Processing Engine
›Database: PostgreSQL
›Security: Challenge-based Auth & Tenant Isolation
›DevOps: Docker & REST APIs
05 // Impact Analysis
✦Eliminated manual form filling by implementing automated Rust-based document-to-data extraction.
✦Automated end-to-end loan evaluation with dynamic multi-bank rule decisioning.
✦Delivered robust multi-tenant data isolation with challenge-based authentication.
REPORT GENERATED BYChenchukrishna Akkarapalli
