Building the infrastructure that powers tomorrow's AI-driven enterprises — one container, one pipeline, one intelligent workflow at a time.
I'm a DevOps and Backend Engineer based in Chattogram, Bangladesh, with a strong foundation in Python-based systems, enterprise ERP development, and AI-powered automation. I specialize in bridging the gap between complex business workflows and modern software infrastructure.
At Rapid Lodgments, I architect and ship custom ERP applications built on the Frappe framework, containerize multi-service systems with Docker, manage CI/CD pipelines, and integrate large language models (LLMs) directly into production workflows — creating systems that are not just functional, but intelligently automated.
My engineering philosophy is rooted in scalability, reliability, and maintainability. I believe that great infrastructure is invisible — it just works. Whether I'm designing a REST API, debugging a Dockerized deployment, or wiring up an AI agent to automate document processing, I approach every problem with precision and care.
I hold a B.Sc. in Computer Science & Engineering from Port City International University, and I'm actively expanding into cloud certifications and Kubernetes orchestration. I'm open to remote-first opportunities with global teams building serious products.
A full-stack DevOps and backend engineering toolkit — from infrastructure and CI/CD to AI integration and ERP development.
Professional engineering experience building production ERP and AI systems.
Lead engineer responsible for the full lifecycle of custom ERP applications tailored to business-critical workflows. Architect and maintain Python-based backend systems using the Frappe framework, orchestrate containerized deployments with Docker and Docker Compose, and embed large language model (LLM) capabilities directly into production environments to automate intelligent document processing and business logic.
Designs and maintains CI/CD pipelines to ensure rapid, reliable deployments. Handles database schema design, query optimization, and cross-service API integrations that connect internal systems with third-party services — delivering end-to-end solutions that are scalable, auditable, and low-maintenance.
Built a strong foundation in algorithms, data structures, operating systems, database management, and machine learning. Academic projects included simulation systems in Python and C, and a COVID-Net neural network implementation for medical image classification. Developed early expertise in Python programming, queue simulation systems, and data analysis using Jupyter Notebooks.
Production systems, tools, and experiments — built at Rapid Lodgments and beyond.
A fully custom enterprise resource planning system built on Frappe Framework, enhanced with LLM-powered features for intelligent document processing, automated business logic, and AI-assisted data entry. Handles complex business workflows including lodgment management, client records, and document routing — all running in a containerized production environment.
Multi-container deployment architecture for Frappe/ERPNext applications using Docker Compose. Includes MariaDB, Redis, Nginx reverse proxy, and background worker services. Enables consistent, reproducible deployments across development, staging, and production environments with automated health checks and environment variable management.
An intelligent automation engine that routes documents through LLM-powered extraction and validation pipelines. Integrates directly into the ERP backend to reduce manual data entry, flag anomalies, and auto-populate form fields from unstructured inputs — dramatically reducing processing time for lodgment-related workflows.
A centralized API integration layer connecting the ERP core to multiple third-party services. Built with FastAPI, it handles authentication, rate limiting, request transformation, and error handling for external service calls — ensuring reliable and maintainable integrations that don't couple business logic to external API contracts.
Contributed to the COVID-Net open-source initiative — a deep learning system for COVID-19 detection from chest X-ray images. Implemented and evaluated neural network classification models using Python and Jupyter Notebooks, gaining hands-on experience with medical image datasets and ML evaluation metrics.
Built single-channel queue simulation systems in both Python and C to model real-world queueing scenarios. Implemented arrival/departure event logic, service time distributions, and statistical output reporting. Demonstrates strong fundamentals in algorithmic thinking, discrete event simulation, and data analysis with Jupyter Notebooks.
Whether you need a robust ERP system, a reliable CI/CD pipeline, or an AI-integrated backend — I deliver production-ready solutions.
Custom Frappe / ERPNext applications tailored to your exact business workflows — from HR and inventory to finance and client management.
Full containerization of your applications with Docker, environment configuration, and production-ready deployment strategies that scale.
Automated build, test, and deploy pipelines that eliminate manual deployment errors and accelerate your team's delivery cycle.
High-performance REST APIs with FastAPI or Django, designed for scalability, clear documentation, and seamless integration.
Embed AI capabilities into your existing systems — from intelligent document processing and automated workflows to AI-powered chatbots and data extraction.
Connect your disparate systems, APIs, and data sources into a cohesive, automated platform that eliminates manual handoffs.
Ready-to-use professional copy for your LinkedIn, GitHub, and interviews.
I'm a DevOps and Backend Engineer specializing in Python-based ERP systems and AI integration. At Rapid Lodgments, I architect custom Frappe applications, containerize multi-service workloads with Docker, manage CI/CD pipelines, and embed large language models directly into production workflows — creating systems that don't just run reliably, but work intelligently. I'm passionate about the intersection of solid infrastructure and AI automation, and I'm looking to bring that expertise to a remote-first team building serious products at scale.
Targeted recommendations to elevate your profile to the senior/global remote tier.
AWS Cloud Practitioner or GCP Associate is a fast win (~1 month) that unlocks cloud-native job listings globally. It signals credibility to recruiters immediately.
You're strong with Docker — the next natural step is Kubernetes. Even basic K8s knowledge (Deployments, Services, ConfigMaps) dramatically widens your DevOps opportunities.
Terraform is the industry standard for IaC. A public GitHub repo showing a simple AWS or GCP infrastructure in Terraform would be a powerful portfolio addition.
Create a public repo with a well-documented GitHub Actions pipeline for a Python or Frappe app. This directly demonstrates CI/CD skills that employers want to see.
Publishing on Dev.to or Hashnode about "Deploying Frappe with Docker" or "Integrating LLMs into ERP workflows" establishes you as a thought leader and drives recruiter discovery.
Add metrics to your experience: "Reduced deployment time by X%", "Automated X manual processes", "Integrated LLM that handles X documents/day." Numbers make the impact real.
A complete LinkedIn profile (with the headline above, featured projects, and recommendations from colleagues) is critical for global remote job applications from recruiters.
Create and publish a small open-source Frappe app or Docker setup on your GitHub. It demonstrates expertise, generates stars/followers, and gives recruiters something concrete to evaluate.
I'm open to full-time remote or live positions, freelance contracts, and long-term collaborations. If you're building something serious, I'd love to talk.
Whether you need a DevOps engineer, a backend architect, or an AI integration specialist — I'm ready to deliver. Let's talk about your project.