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Software Engineer with less than a year in AI/ML and full-stack development. Seeking junior roles.
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Assessing your cultural and operational fit
Highly motivated Computer Science student with a strong academic record (CGPA: 3.54/4.00) and practical experience in full-stack development, database management, and AI/Computer Vision research. Proficient in multiple programming languages and modern frameworks, actively building a research portfolio in Generative AI. Eager to apply problem-solving and agile methodologies to real-world engineering challenges.
American International University-Bangladesh (AIUB)
B.Sc. · Computer Science
August 1, 2022 – June 30, 2026
GAN-Based Synthetic Fire and Smoke Generation for Early Detection in Safety-Critical Vision Systems
June 24, 2026 – Present
Researched GAN architectures (TensorFlow/PyTorch) to generate synthetic fire and smoke imagery for training safety-critical computer vision detection systems. Addressed real-world data scarcity by evaluating detection performance (YOLO, Faster R-CNN) on synthetic-augmented vs. real-only datasets. Investigated domain adaptation techniques to bridge the synthetic-to-real gap for deployment in surveillance and CCTV-based fire monitoring.
Student Management System
June 24, 2026 – Present
Built a role-based (Admin/Teacher/Student) academic management platform with an 8+ table normalized database. Implemented session-based authentication, RBAC, and MVC architecture for secure, scalable access control. Reduced manual data entry by ~50% via automated CRUD workflows; cut data redundancy by ~40% through normalization. Designed dynamic reporting dashboards for administrators to export attendance and grade summaries.
Cultural Fit Analysis
The candidate's project diversity, ranging from advanced AI research to a full-stack student management system, indicates a broad interest and adaptability. The self-study of agile tools (Jira, Trello, Notion) and active building of a Generative AI/Computer Vision research portfolio alongside coursework suggest a proactive, self-driven individual who aligns well with a culture of continuous learning and innovation. The target role of 'Software Engineer' is well-aligned with the demonstrated technical skills and project experience.
Soft Skills & Operational Fit
The candidate demonstrates core competencies in Object-Oriented Software Development, Problem-Solving, Fast Learning, Agile methodologies (Scrum, SDLC), Cross-Functional Collaboration, and Technical Documentation. These indicate a strong foundation for operational fit and a proactive approach to learning and teamwork. The psychometric test score is 0, which means there is no data to evaluate logical reasoning, work attitude, stress handling, or team collaboration.