I build AI agents, backend systems, and enterprise automation that solve real engineering problems.

My current focus is on Agentic AI, multi-agent architectures, tool-using LLMs, MCP integrations, and production-grade backend systems built with Python and Django.

Building AI systems that can reason, use tools, interact with real software, and keep humans in control of consequential actions.

Multi-agent workflows, repository-aware coding agents, tool calling, human-in-the-loop systems, and MCP-powered integrations.

Scalable APIs, financial workflows, authentication, optimization systems, background processing, and production application architecture.

LangChain, LangGraph, RAG, structured tool usage, LLM orchestration, Gemini, Groq, and local models through Ollama.

Custom business workflows, ERP integrations, accounting processes, automation, deployments, and enterprise application development.

A repository-aware multi-agent software engineering system that can inspect codebases, implement scoped changes, run validation, and safely prepare GitHub pull requests.

User Request
     │
     ▼
Developer Agent
     │
     ├───────────────┐
     │               │
     ▼               ▼
 Code Agent       GitHub Agent
     │               │
     ▼               ▼
Repository       Human Approval
Inspection            │
     │                 ▼
     ▼         Branch → Commit → Push → PR
Code Changes
     │
     ▼
Tests / Lint / Build

Highlights

• Multi-agent task routing
• Repository-aware code inspection
• Constrained file editing
• Automated test/lint/build execution
• Human approval before Git operations
• GitHub MCP integration
• Gemini, Groq, and Ollama support

Tech

Python LangChain LangGraph MCP Gemini Groq Ollama GitHub

A voice-enabled Agentic AI food ordering system where users interact naturally while AI manages the ordering workflow.

The browser handles speech interaction while the Django backend controls business rules, cart state, checkout, AI orchestration, and persistence.

Highlights

• Voice-first AI interaction
• Tool-using ordering agent
• Server-controlled cart and checkout rules
• Persistent order state
• Production-oriented Django backend
• Separate React frontend

Tech

Django LangChain Gemini React PostgreSQL REST API

Frontend: food-order-agent-frontend

A privacy-aware personal finance platform designed around monthly budgeting, household expenses, savings, reconciliation, reporting, and financial planning.

Highlights

• Household budgeting
• Savings goals
• Planned vs actual spending
• Bank reconciliation
• Financial reports
• Role-based household access
• Google authentication
• Automated reminders
• JSON/CSV exports
• Production deployment architecture

Tech

Django Django REST Framework React TypeScript PostgreSQL Neon Docker

I'm particularly interested in engineering problems around:

• 🤖 Multi-Agent Architectures
• 🧠 Agentic AI
• 🔗 Model Context Protocol
• 📚 Retrieval-Augmented Generation
• 🛠️ AI Developer Tools
• 🧑‍💻 Repository-Aware Coding Agents
• ⚡ Backend Architecture
• 🏢 Enterprise Automation
• 💳 FinTech Systems
• 📊 ERP / Business Applications

LangChain · LangGraph · RAG · MCP · Tool Calling · Multi-Agent Systems

Python · Django · Django REST Framework · FastAPI · Celery · Redis

React · TypeScript · JavaScript

Frappe Framework · ERPNext · Financial Workflows · Business Automation

PostgreSQL · MySQL · MariaDB · MongoDB · SQLite · Redis

Docker · Git · GitHub · Linux · Render · Neon · Frappe Cloud

I'm currently going deeper into:

• Multi-agent software engineering systems
• Autonomous coding workflows
• Repository-aware AI agents
• MCP-based tool integrations
• Production RAG architectures
• Agent memory and context management
• Human-in-the-loop AI systems
• AI automation for enterprise workflows

I prefer building AI systems where:

LLMs handle reasoning.

Tools handle deterministic operations.

Business rules remain application code.

Humans retain control over high-impact actions.

That separation makes AI systems safer, easier to test, and more reliable in production.

I'm interested in opportunities around:

Agentic AI · AI Engineering · Python Backend · Django · Multi-Agent Systems · Enterprise AI

📧 Email: sallahudinawan8@gmail.com