I am a Jr. Software Engineer(Backend) in Affpilot AI having nearly 1 years of experience. I have been building and maintaining backend services in Go and Python and have assisted in moving AI content-generation service to a microservices-based system. I have also used RabbitMQ to coordinate tasks, created integrations with other platforms such as WordPress and Shopify, automated email system. I have a competitive programming background, and have solved more than 1,200 problems and attended several onsite competitions, such as ICPC Asia Dhaka Regionals2023 (97th out of 223 teams).

MD. SOYAIB RAHMAN

I am a Jr. Software Engineer(Backend) in Affpilot AI having nearly 1 years of experience. I have been building and maintaining backend services in Go and Python and have assisted in moving AI content-generation service to a microservices-based system. I have also used RabbitMQ to coordinate tasks, created integrations with other platforms such as WordPress and Shopify, automated email system. I have a competitive programming background, and have solved more than 1,200 problems and attended several onsite competitions, such as ICPC Asia Dhaka Regionals2023 (97th out of 223 teams).

Available to hire

I am a Jr. Software Engineer(Backend) in Affpilot AI having nearly 1 years of experience. I have been building and maintaining backend services in Go and Python and have assisted in moving AI content-generation service to a microservices-based system. I have also used RabbitMQ to coordinate tasks, created integrations with other platforms such as WordPress and Shopify, automated email system. I have a competitive programming background, and have solved more than 1,200 problems and attended several onsite competitions, such as ICPC Asia Dhaka Regionals2023 (97th out of 223 teams).

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Experience Level

Expert
Expert
Intermediate
Intermediate
Intermediate
Beginner

Language

Javanese
Advanced

Work Experience

Jr. Software Engineer at AFFPILOT AI
May 1, 2025 - Present
Developing and maintaining multiple backend services across diverse stacks and reliable system integration. Migrated the core Affpilot AI article generation service to a redesigned architecture. Integrated a task generation system using Celery and RabbitMQ to generate contents. Integrated WordPress, Blogger, and Shopify to publish content instantly after generation. Developed an automated emailing system to notify new users about offers and discounts. Developed an SEO analyzer to measure content performance and highlight areas for improvement. Built and enhanced admin APIs for platform management and growth.
Intern Software Engineer at SOFTBD LTD
January 1, 2025 - April 1, 2025
Implemented an E-commerce platform for self learning in ExpressJS with frontend in JS. Contributed to a large-scale project (NPF). Implemented pagination in some APIs to ensure dropdown menus handle large datasets efficiently without performance issues or breaking. Worked with senior engineers to identify and resolve bugs and implement new features.

Education

BSc, Computer Science Engineering at Jagannath University
January 1, 2019 - June 1, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Computers & Electronics, Professional Services
    paper Farm Fusion- Intelligent Agricultural Recommendation System with Weather Monitoring

    Why This Project Matters
    The Problem
    Farmers face critical decisions daily:

    What crop should I plant? (Wrong choice = entire season lost)
    What fertilizer do I need? (Wrong amount = money wasted or crops damaged)
    Will weather harm my crops? (Late warning = no time to protect)
    The Solution
    An intelligent system that:

    Recommends optimal crops based on soil conditions (99.32% accuracy)
    Suggests precise fertilizer types based on soil and crop data
    Monitors weather 24/7 and sends automated alerts before dangerous conditions
    Scales to handle thousands of farms with minimal latency
    Real-World Impact
    Time Saved: Automated daily weather checks for all farms
    Cost Reduction: Precise fertilizer recommendations prevent waste
    Risk Mitigation: Early weather warnings protect crops
    Data-Driven: ML models trained on 2,200+ agricultural data points.

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