Know Me Better
I'm a QAMS Specialist Engineer with a passion for ensuring software quality and reliability. My journey in tech started with curiosity about how systems work and evolved into a career dedicated to making software better.
Currently at Softifybd, I oversee quality assurance and monitoring across software and network systems. I adopt new technologies to drive R&D that improves monitoring automation and fault detection.
My Expertise
5+
Years Experience
10+
Projects Delivered
15+
Technologies
2
Mentees Trained
My Journey
QAMS Specialist Engineer (R&D)
- →Oversee quality assurance and monitoring across software and network systems
- →Adopt new technologies to drive R&D that improves monitoring automation and fault detection
- →Collaborate with development and DevOps teams to integrate quality metrics
- →Maintain clear documentation of QA and R&D activities
- →Mentored and trained 2 juniors
Featured Projects
ISP Digital
2021 – Present
Managed and monitored payment gateway services within the ISP Digital management platform. Ensured seamless online transactions for ISP owners and their customers.
- ▹Coordinated with payment gateway providers to maintain integration stability
- ▹Performed transaction-flow verification to detect integration regressions early
OLT Monitoring Service
2021 – Present
Developed a monitoring solution for ISP clients' OLT devices integrated with the ISP Digital management platform.
- ▹Implemented SNMP-based data collection to track device status and performance metrics
- ▹Automated fault detection and alerting for proactive issue resolution
Softifybd Monitoring Service
2020 – 2022
Developed a monitoring system to visualize database and server metrics using Zabbix and Grafana.
- ▹Integrated SNMP for real-time system data collection and analysis
- ▹Monitored databases, servers, and client logs for performance and stability
Skills & Expertise
Programming
Database
Testing & Tools
Soft Skills
Tools I Work With
Academic Work
From Embeddings to Clusters: A Bilingual NLP Approach to Disaster Event Detection
This research focuses on building a robust framework for disaster event detection by leveraging advanced Natural Language Processing (NLP) techniques. It involves creating a labeled dataset, generating contextual embeddings, and utilizing clustering mechanisms for effective similarity matching and classification.
Academic Background
2021
Dhaka, Bangladesh
Bachelor of Science
Daffodil International University
Computer Science & Engineering
2016
Narayanganj, Bangladesh
Higher Secondary Certificate
Kadam Rasul College
Science
2014
Narayanganj, Bangladesh
Secondary School Certificate
B.M Union High School
Science
DIU Computer & Programming Club
Member • 2017 – 2021
Let's Work Together
I'm always open to discussing new opportunities, interesting projects, or just having a chat about QA, monitoring systems, or technology.