Md. Musfiqur Rahaman — Backend Engineer

I am a Backend Software Engineer focused on building scalable, production-ready systems with Python and Django. Over the past 2+ years, I’ve worked on designing and evolving backend services for SaaS platforms, with growing ownership in system architecture and long-term maintainability. At TechForing, I work on a multi-tenant Django-based platform where I help migrate legacy monolithic systems into modular microservices, design REST APIs using Django REST Framework, and model complex relational data using PostgreSQL. I regularly work with Dockerized deployments and Linux-based infrastructure to ensure reliability and consistency across environments. Beyond feature delivery, I spend a lot of time improving existing systems, refactoring tightly coupled code, reducing deployment risks through service isolation, and implementing real-time communication using WebSockets when synchronous feedback is critical. I collaborate closely with product and frontend teams to translate business requirements into stable backend contracts and deliver features on time. I also enjoy working at the intersection of backend engineering and AI. I’ve built AI-enabled backend systems using GenAI APIs and prompt-driven workflows, with a strong focus on making AI features reliable, observable, and production-ready rather than experimental. I hold a BSc in Computer Science and Engineering from North South University and am currently pursuing a Master’s in IT at IIT, University of Dhaka. I am interested in roles where I can take greater ownership of backend systems, contribute to architectural decisions, and work on R&D-driven products that value clean design, scalability, and reliability. Tech Skills: Python, Django, Flask, FastAPI, PostgreSQL, Docker, AWS, Celery, GitHub Actions, REST API, CI/CD

Stackforce AI infers this person is a Backend Engineer specializing in SaaS and AI-driven solutions.

Location: Dhaka, Bangladesh

Experience: 6 yrs 1 mo

Skills

Python
Django
Natural Language Processing (nlp)

Career Highlights

Expert in migrating monolithic systems to microservices.
Proficient in building scalable backend systems with Python and Django.
Strong background in NLP and AI-enabled backend solutions.

Work Experience

TechForing

Backend Engineer (1 yr 4 mos)

Nimusoft Technologies Ltd.

Backend Engineer (7 mos)

NSU Startups Next

Full Stack Developer (3 mos)

North South University

Guided Research Student (11 mos)

NSU Computer & Engineering Club

Senior Member of Research and Development (2 yrs 9 mos)

Senior Member (5 mos)

General Member (2 mos)

Probationary Member (1 yr)

Education

Master's degree at University of Dhaka

Bachelor of Science - BS at North South University

Higher Secondary School Certificate at Noakhali Govt. College

Secondary School Certificate at Noakhali Zilla School

Primary Education Certificate at Arun Chandra Government Primary School

Master's degree at University of Dhaka

Md. Musfiqur Rahaman

Backend Engineer

Dhaka, Bangladesh6 yrs 1 mo experience

Highly Stable

Key Highlights

Expert in migrating monolithic systems to microservices.
Proficient in building scalable backend systems with Python and Django.
Strong background in NLP and AI-enabled backend solutions.

Stackforce AI infers this person is a Backend Engineer specializing in SaaS and AI-driven solutions.

Contact

Skills

Core Skills

PythonDjangoNatural Language Processing (nlp)

Other Skills

Python (Programming Language)Back-End Web DevelopmentMicroservicesAmazon Web Services (AWS)REST APIEnterprise Resource Planning (ERP)Project ManagementSoftware DevelopmentTechnical AssistanceData PreprocessingResearch and Development (R&D)PyTorchTeamworkSkilled Multi-taskerEvent Management

About

Experience

6 yrs 1 mo

Total Experience

2 yrs 4 mos

Average Tenure

1 yr 4 mos

Current Experience

Techforing

Backend Engineer

Jan 2025 – Present · 1 yr 4 mos · Dhaka, Bangladesh · On-site

Contributed to the migration of legacy monolithic Django applications into modular microservices, improving scalability and deployment speed by 25%.
Authored and maintained detailed technical documentation for both legacy and new microservices architecture, reducing onboarding time for new developers by 50%.
Developed a Dynamic Customer Onboarding & Invitation System used by 100% of new SaaS clients, resulting in a 30% reduction in manual onboarding time.
Implemented a versioned Onboarding Management Platform enabling product managers to roll out and test multiple onboarding flows simultaneously across environments.
Built a rule-based Email Automation Service, enabling marketing and product teams to configure and send templated emails. This resulted in a 50% decrease in manual campaign execution effort.
Integrated dynamic payment gateway services (Stripe) for one-time and recurring billing, enabling seamless billing across global clients. Helped increase payment collection rate by 25% within the first quarter of launch.
Developed a Service Toggle System, allowing operations to enable/disable microservices (e.g., payments, email) per product and tenant, enhancing system flexibility and reducing deployment rollback incidents.
Collaborated closely with Product and Frontend teams, translating Figma prototypes and business logic into scalable and secure REST APIs, ensuring timely sprint deliveries and consistent UX.

Python (Programming Language)Back-End Web DevelopmentMicroservicesAmazon Web Services (AWS)PythonDjango

Nimusoft technologies ltd.

Backend Engineer

May 2024 – Dec 2024 · 7 mos · Dhaka, Bangladesh · On-site

Collaborated directly with the Managing Director to gather requirements and define product architecture, while leading a team of 4 junior developers, ensuring timely and quality deliveries.
Redesigned the Nimusoft company homepage with a focus on UX and responsiveness, resulting in ~20% improvement in load time and SEO ranking (measured via Lighthouse and Google Search Console).
Implemented Django context processors and decorators to extract common logic and data injection across templates, improving code maintainability and reducing template duplication by ~25%.
Developed a custom Django template loader to serve static files differently in dev vs. production environments, improving asset management and reducing deployment-related issues.
Optimized project settings and environment handling using .env configuration, Django settings modules, and automated deployments via GitHub Actions, reducing deployment time by ~30% and improving codebase security.

Python (Programming Language)DjangoEnterprise Resource Planning (ERP)Project Management

Nsu startups next

Full Stack Developer

Jan 2024 – Apr 2024 · 3 mos · Dhaka, Bangladesh · On-site

Developed the NSU StartUp Next website from scratch using Django, enabling efficient management of events and incubator programs—reducing manual coordination efforts by ~40% and boosting event visibility to students and partners.
Collaborated with internal teams to integrate dynamic, up-to-date content aligned with ongoing startup activities, leading to a ~30% drop in content-related support requests.
Authored comprehensive technical documentation and user guides for internal teams, streamlining onboarding for non-technical users and reducing developer dependency for routine updates.
Worked closely with designers and stakeholders to iteratively implement UI/UX improvements using agile methods, resulting in a 25% increase in returning visits and improved user satisfaction.
Assisted partner startups in building MVPs using Django/Flask, offering backend support and architectural guidance that accelerated their product launches.

Software DevelopmentTechnical AssistancePython (Programming Language)Python

North south university

Guided Research Student

Aug 2021 – Jul 2022 · 11 mos · Dhaka, Bangladesh · Hybrid

Done Guided Research and Undergraduate Thesis under Bangladesh's one of top NLP and Bangla NLP Researcher Dr. Nabeel Mohammed sir.
Work closely with the Nabeel Sir to understand the problem and find solutions.
Develop tools for collecting data
Build, train, fine-tune and deploy model
Thesis Topic:
A Bengali to English Word Aligner using Transformer Based Multilingual BERT
This is an NLP-based research project. Our fine-tuned model will help properly align a Bangla Word with its corresponding English word of a sentence. Thus we can transfer the feature of an English Sentence into a Bangla Sentence. After training with 2 Million Sentence Pairs, we got around 76% Accuracy.
Additional Research:
Implemented Bangla Parts of Speech Tagging, Named Entity Recognition etc using our fine-tuned model.
Used Microsoft IL-POST Dataset to test our model. Preprocessed MS IL-POST Dataset to ensure proper Text Classification.
Created a 2000+ manually aligned Bangla to English Alignment Dataset to test our model.