About

About

👋 Hi, I’m Amirul Islam Al Mamun

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I am a Backend Engineer currently based in Lund, Sweden, with over 4 years of hands-on experience in building scalable, high-performance backend systems. I’m passionate about solving complex problems and delivering efficient, clean code.

Open to work

I am actively looking to contribute to new projects and opportunities that challenge my skills in backend development. Based in Malmö, Sweden, I am seeking roles in the Lund, Malmö, and Copenhagen areas, with a strong preference for remote opportunities across Europe and globally. Whether it’s a full-time, part-time, or contract position, I am eager to contribute my skills and expertise to your innovative team.

PROFESSIONAL EXPERIENCE

Senior Software Engineer

WellDev Ltd. — Dhaka, Bangladesh (Remote for Switzerland)
Jan 2024 – Aug 2024

  • Contributed to the development of WellDev NLP, boosting API performance by 35% and increasing test coverage from 60% to 90%.
  • Refactored Tessi project, reducing code complexity by 50%, and increasing performance by 30%.
  • Trained colleagues, elevating overall project quality and mentoring junior engineers.

Senior Software Engineer

Supertal Pte. Ltd. — Remote (Singapore)
Jun 2022 – Dec 2023

  • Spearheaded development of two high-traffic e-commerce MVPs, scaling platforms for millions of users.
  • Enhanced a Warehouse Management System and e-commerce platform, improving logistics efficiency by 20%.
  • Achieved promotion ahead of schedule by demonstrating leadership and increasing customer satisfaction by 30%.

Software Engineer

Evaly.com.bd — Dhaka, Bangladesh
Feb 2021 – Oct 2021

  • Developed a high-performance eHealth Order service for over a million users, reducing system load times by 40%.
  • Improved transaction accuracy, reducing payment discrepancies by 25%, and boosting customer trust.

Software Engineer Intern

Leads Corporation Ltd. — Dhaka, Bangladesh
Sep 2020 – Dec 2020

  • Successfully developed VerifID (eKYC) backend, enhancing digital onboarding across 6+ major banks in Bangladesh.

EDUCATION

BRAC University

Bachelor of Computer Science
2017 – 2020

SKILLS

Programming Languages

  • Python (FastAPI, Flask, Django, AsyncIO)
  • JavaScript (Node.js, Express.js), TypeScript

Backend Development

  • RESTful API design & development
  • Microservices architecture
  • Asynchronous programming (AsyncIO)

Databases

  • Relational: MySQL, PostgreSQL
  • NoSQL: MongoDB, Redis

Cloud & DevOps

  • Cloud Platforms: AWS, GCP
  • CI/CD: GitLab CI, GitHub Actions
  • Containerization & Orchestration: Docker, Docker Compose
  • Monitoring: Grafana, Prometheus

Version Control & Collaboration

  • Git: GitLab, GitHub, Bitbucket
  • Collaboration Tools: Jira, Trello, Slack

Testing & Quality Assurance

  • Unit Testing (PyTest, Unittest)
  • Integration Testing
  • Test Coverage & Automation

Other Technologies & Tools

  • RabbitMQ, Celery (Task queues)
  • ERPNext (ERP system)
  • Loki (Log aggregation)

CERTIFICATIONS

  • Software Development Processes and Methodologies
  • Programming Skill Bootcamp Trainer
  • Programming Foundations: Design Patterns
  • Global Problem-Solver - NASA Space Apps COVID-19 Challenge

HONORS & AWARDS

  • Global Problem-Solver – NASA Space Apps COVID-19 Challenge (2020)
  • Champion – Intra-University Programming Contest, BRAC University (2017)
  • 2nd Runner Up – BUCC Intra-University Programming Contest (Senior), Fall’18 & Spring’19
  • 12th Place – INWED Techfest Programming Contest, IUB (2019)
  • 8th Place – UITS Inter-University Programming Contest (2019)

ADDITIONAL INFORMATION

Top Skills

  • Back-End Web Development
  • Python
  • REST APIs
  • Database optimizations

Languages

  • English (CEFR Level: B2, IELTS Score: 6.5, December 2023)
  • Bangla (Native)

Extra-Curricular Activities

  • Problem Setter and Judge • Toph Online Judge • (Jan 2019 - Apr 2020)
  • Programming Mentor and BootCamp Trainer • BRAC University • (Mar 2018 - Jul 2020)
  • Teaching Assistant • BRAC University • (Oct 2019 - Sep 2020)

PUBLICATIONS

A Deep Learning Approach to Integrate Human-Level Understanding in a Chatbot

Presented at 10th International Conference on Natural Language Processing (NLP 2021) | Sydney, Australia · October 10, 2021

  • Abstract: This research presents a deep learning approach to enhancing chatbot interactions by integrating human-level understanding. The study focuses on four major components: Sentiment Analysis, Emotion Detection, Intent Classification, and Named-Entity Recognition (NER). The integration of these techniques improves the chatbot’s ability to respond with more contextually appropriate and interactive conversations, moving closer to human-like interaction.
  • Key Contributions:
    • Developed a comprehensive model integrating multiple NLP tasks.
    • Demonstrated improvements in sentiment detection and intent classification, enhancing chatbot interaction by 30%.
    • Set the foundation for future advancements in human-like chatbots.
  • Link to Abstract: Read the Abstract
  • Project Repository: View Source Code

CONTACT INFORMATION

  • Email: amirulislamalmamun@gmail.com
  • Phone: +46 735532182 (whatsapp)

SUMMARY

With a solid foundation in backend engineering, a proven record of optimizing performance, and leadership in cross-functional teams, I am passionate about clean code, scalability, and delivering performance-driven solutions. Let’s connect and discuss how we can collaborate on your next project.