John Pritom
Biswas
Building AI-driven products, publishing ML research, and engineering quality systems. Based in Dhaka, Bangladesh โ brewing ideas with caffeine, shipping at scale.
About Me
I'm a passionate AI Product Manager and Machine Learning Researcher with expertise in building intelligent systems and improving software quality. Currently working at Dot BD Solutions, focusing on AI-driven product improvements and technical coordination.
I hold a BSc in Computer Science & Engineering (AI Specialization) from BUBT with a CGPA of 3.56/4.00. My expertise spans Machine Learning, Deep Learning, Software Quality Assurance, and ERP Systems.
Passionate about leveraging AI to solve real-world problems, improving product reliability, and building systems that scale beautifully.
Brewing ideas with caffeine, refining them with logic โ shipping products that scale beautifully.
Skills & Tech
Featured Projects
Integrated deep learning system for brain tumor classification using CNNs, transfer learning, and advanced feature fusion on medical imaging. Published in Elsevier Q1.
Intelligent email campaign platform leveraging AI for personalization, customer segmentation, and automated generation with smart targeting.
Comprehensive manual testing suite following OWASP standards with detailed test case documentation and security vulnerability assessment.
Interactive visualization dashboard using Python, Pandas, and Matplotlib for analyzing business metrics and creating actionable insights.
Automated API testing framework with comprehensive test coverage, performance monitoring, and detailed reporting for REST endpoints.
Comprehensive ERP documentation including workflow guides, QA procedures, and user training materials for enterprise-scale deployment.
Work Experience
- AI-enabled product improvements and business workflow optimization
- Coordinating product reliability, technical communication, and feature planning
- Supporting AI integration strategies and product enhancement initiatives
- Analyzing market trends and customer feedback for product improvements
- Identified and documented 37+ ERP defects across multiple operational modules
- Trained 100+ employees and field staff on ERP usage and processes
- Conducted SDLC and STLC training sessions for QA teams
- Created comprehensive QA documentation and test case specifications
- Research on brain tumor diagnosis using deep learning techniques
- Implemented CNN architectures, transfer learning, and feature fusion methods
- Published Elsevier Q1 indexed paper on medical image classification
- Collaborated with faculty on research methodologies and publications
Research & Publications
Developed an integrated deep learning system combining CNN architectures, transfer learning, and feature fusion for enhanced brain tumor classification and diagnosis from medical imaging data.
Awards & Achievements
BCS ICT Fest 2025 (BUET)
Brainstorming Week 2024
Brain Tumor Diagnosis
Enterprise System QA
Let's Build Something
Open to collaborations, research partnerships, and new opportunities.