Jahidul Hasan
PROFILE
Experienced Server Engineer with strong focus on backend systems development and cloud infrastructure management. Skilled in designing and optimizing high-performance server applications using Python, Django, and Flask frameworks. Experienced in collaborating with cross-functional teams to create efficient, scalable backend solutions. Proficient in AWS cloud services, Docker containerization, and database management with hands-on experience in deploying and maintaining production servers. Passionate about leveraging technology to deliver robust server infrastructure and backend systems that drive business success.
EXPERIENCE
- Engineered and maintained high-performance backend systems for ERP, CRM, and HRM applications using Python, Django, and Flask frameworks
- Designed and implemented robust RESTful APIs for business management solutions, ensuring seamless integration with frontend applications
- Deployed and managed scalable applications using Docker, Nginx, AWS RDS, and S3 Bucket, leveraging cloud infrastructure for optimal performance
- Optimized database performance with MySQL, PostgreSQL, and MongoDB, reducing query response times by 50% for enterprise applications
- Provided technical leadership to development teams, ensuring adherence to best practices in backend development and server architecture
- Implemented CI/CD pipelines and automated deployment processes, improving development efficiency and reducing deployment time by 60%
- Collaborated with cross-functional teams to architect scalable solutions for startups to enterprise-level business software requirements
- Maintained and monitored production servers, ensuring 99.9% uptime and optimal performance for critical business applications
PROJECTS
Developed a comprehensive backend system for enterprise resource planning using Django and PostgreSQL. Implemented advanced API endpoints for inventory management, financial reporting, and user authentication with JWT tokens.
Built a scalable cloud management system using Python, AWS services, and Docker containers. Automated server provisioning, monitoring, and scaling processes for multiple client applications.
Engineered a high-throughput data processing system using Python, Redis, and MongoDB. Handled real-time data streams for business analytics and reporting with 99.9% accuracy and minimal latency.
Designed and deployed microservices architecture using Docker, Kubernetes, and Flask. Created independent, scalable services for different business modules with proper load balancing and fault tolerance.
Developed automated database migration tools and optimization scripts for MySQL and PostgreSQL. Improved query performance by 70% and reduced database maintenance overhead significantly.
EDUCATION
- Earned bachelor's degree in Computer Science and Engineering
- Specialized in software engineering, algorithms, and database systems
- Engaged in advanced programming projects and system design
- Maintained a CGPA of 3.40 out of 4.00
- Completed higher secondary education with focus on science and mathematics
- Strong foundation in analytical thinking and problem-solving