AI Automation Developer · Chattogram, Bangladesh

Automation that works quietly in the background of your business.

I design and build the AI systems, chatbots, and backend workflows that take manual work off your plate — in Python, with any AI model integrated on demand: OpenAI, Claude, or whichever provider your project needs, via REST APIs and Model Context Protocol.

9+ years building production systems · Python · Flask · MySQL · REST APIs

Request client input AI Model any, on demand Automation Engine python · rest apis Delivered Solution chatbot · dashboard · content pipeline
How a request becomes a working system
9+Years in Python & backend development
6Core service areas, one developer
AI models supported — OpenAI, Claude, or yours, on demand

Services

What I build

Six areas of practice, all grounded in the same backend fundamentals — so the pieces work together instead of becoming six separate vendors.

AI Automation & Workflow Systems

Multi-step workflows that connect your tools and APIs, so tasks run on their own instead of waiting on someone to click through them by hand.

AI Chatbots & Business Assistants

Conversational assistants built on whichever model fits the job — GPT, Claude, or another provider on demand — handling support, intake, and internal Q&A around the clock.

AI-Powered Web Applications

Custom web apps and dashboards on a Python/Flask backend, built to be fast, clean, and easy to hand off.

Content Automation

Pipelines that turn one piece of source material into video, podcast, and social content without manual re-editing.

Backend & API Integration

REST APIs, MySQL, and cloud integrations that tie your existing tools into one working system.

Algorithmic Trading Systems

Automated trading and execution systems across stocks, options, forex, and CFDs — from strategy backtesting to live order execution. Built in Python when speed of iteration matters most, and in Rust or C++ when the strategy needs raw execution speed and low latency.

Process

How a project runs

The same four steps whether it's a chatbot or a full dashboard — small enough to move fast, structured enough that nothing gets built twice.

01

Discover

Find where the manual work actually lives, and what "done" looks like for you.

02

Design

Map the automation: what AI can own outright, what needs a human check, and where systems connect.

03

Build

Implement in Python, test against real inputs, integrate with OpenAI/Claude and your existing stack.

04

Hand off & support

Ship a documented, working system, then stay on to refine it as things change.

Representative project types

What this looks like in practice

Examples of the kind of systems I build. Happy to walk through relevant work in more detail on a call.

Support

Customer support chatbot

An AI assistant trained on a company's own docs — built on GPT, Claude, or any model on request — handling first-line questions and escalating only what a human actually needs to see.

PythonFlaskAny LLM APIREST

Content

Content automation pipeline

One recorded episode in — edited clips, show notes, and social posts out, automatically, on a schedule.

PythonClaude APIAutomation platform

Operations

Operations dashboard

A live backend dashboard pulling from MySQL and internal APIs, replacing a stack of manual spreadsheets.

FlaskMySQLREST APIsBootstrap

Stack

Tools I build with

PythonRustC++FlaskPHP MySQLREST APIsOpenAI API Claude APIAny AI model, on requestModel Context Protocol BootstrapGit

Let's build something

Tell me what's eating your team's time.

Send a note directly, or use the brief form — either way I read every message myself.

Based in Chattogram, Bangladesh — working with clients worldwide

Opens your email client with this pre-filled, addressed to abuarman@elite-algo.com.