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arees412/README.md

Arees Shah

AI & Backend Systems Engineer | Founder, Avrixo Digitals

AI Systems Backend Engineering Systems Before Software

I design and build AI-powered software systems, backend platforms, SaaS products, integrations, and intelligent operational workflows. My work sits at the intersection of AI, backend engineering, systems integration, and product architecture—with a focus on solving real business problems rather than adding technology for its own sake.

I'm the founder of Avrixo Digitals, an AI-native software and systems company built around a simple principle: Systems Before Software.

What I Build

  • AI Systems & Automation — AI agents, governed agentic workflows, multi-agent systems, intelligent automation, and AI-powered internal systems.
  • AI Product & SaaS Engineering — AI-native SaaS, product architecture, MVP engineering, and AI features for existing products.
  • Backend Systems, APIs & Integrations — Backend architecture, REST and gRPC APIs, authentication, data synchronization, and third-party integrations.
  • RAG & Intelligent Systems — Retrieval-augmented generation, knowledge systems, vector search, intelligent documents, and LLM-backed products.
  • Custom Software & Internal Platforms — Operations platforms, admin systems, business applications, internal tools, and workflow systems.

Current Focus

Production-oriented AI systems, multi-agent architectures, RAG and knowledge systems, backend architecture, SaaS platforms, APIs and integrations, internal business systems, and workflow automation.

Featured Engineering

Enterprise Multi-Agent AI Operations Platform

A multi-agent AI operations platform combining governed business agents, RAG knowledge retrieval, long-term memory, MCP tooling, workflow orchestration, and Go/gRPC-based backend services.

My work in this fork focuses on AgentForge customization and extensions: business-agent architecture, catalog validation, integration code, tests, documentation, and CI/repository hardening. The underlying platform retains its upstream open-source history and attribution.

Technical Stack

Area Technologies
AI / LLM OpenAI-compatible APIs, RAG, AI agents, multi-agent systems, vector search, MCP
Backend Go, Python, FastAPI, REST APIs, gRPC
Frontend / Product React, TypeScript
Data / Infrastructure MongoDB, Redis, Qdrant, Docker, GitHub Actions

How I Think About Engineering

Systems Before Software

The hardest part of software projects is often not writing the code—it is understanding the system the code belongs to.

I start with the operational problem, constraints, integrations, risks, and desired business outcome. Then I determine what combination of software, AI, automation, infrastructure, and internal tooling actually solves it.

Avrixo Digitals

AI-Native Software & Systems Company

Avrixo focuses on AI systems and automation; AI product and SaaS engineering; custom software and internal platforms; backend systems, APIs, and integrations; and RAG, data, and intelligent systems.

Visit avrixodigitals.com

Engineering Principles

Proof before promises. · Systems before software. · Quality over volume. · Validation before product build. · Build for maintainability.

Connect

Pinned Loading

  1. agentforge-ai agentforge-ai Public

    Enterprise Multi-Agent AI Operations Platform with RAG, MCP, long-term memory, governed business agents, and workflow orchestration.

    Go

  2. avrixo-ai-saas avrixo-ai-saas Public template

    Forked from fastapi/full-stack-fastapi-template

    Production-oriented multi-tenant AI SaaS platform with FastAPI, PostgreSQL, React, typed AI workflows, usage governance, and containerized deployment.

    TypeScript