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AI Engineer with 4+ years in AI, Machine Learning & Computer Vision
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Recent CSE graduate with hands-on experience building AI-powered applications using Large Language Models, Generative AI, and Agentic AI systems. Passionate about designing intelligent automation pipelines, LLM-driven agents, and computer vision solutions. Seeking an entry-level role as an AI/ML Engineer, AI Automation Engineer, or GenAI Developer to contribute to impactful, intelligent software products.
Canadian University of Bangladesh
Bachelor of Science · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Institute of Computer Science and Technology
Diploma · Computer Science
August 1, 2018 – June 30, 2022
Betupia Group
Jr. SQA Engineer
January 1, 2025 – Present
Dhaka, Dhaka Division, Bangladesh
Pureit
Trainee Project Coordinator
March 1, 2022 – September 1, 2024
Dhaka, Dhaka Division, Bangladesh
Client Requirement Analyzer Agent
June 27, 2026 – Present
Built an agentic AI system that intelligently analyzes client-provided documents and extracts structured business requirements. Leverages LLMs for deep document understanding, automated requirement classification, and natural language report generation, streamlining the discovery phase for software projects.
View ProjectN8N AI Model Automation
June 27, 2026 – Present
Designed and implemented multi-step AI automation workflows using N8N, orchestrating LLM agents, external APIs, and data pipelines. The system demonstrates agentic task delegation, conditional branching, and intelligent process automation across heterogeneous services.
View ProjectReal-Time Cheat Detection System for Online Exams
June 27, 2026 – Present
Developed an AI-powered real-time exam cheat detection system using YOLOv8 and Computer Vision techniques. Collected and annotated custom datasets using Roboflow, trained an object detection model, and performed real-time video analysis to identify suspicious exam activities.
View ProjectVirtual Try-On System
June 27, 2026 – Present
AI-powered clothing virtual try-on app using Stable Diffusion Inpainting. Users upload a photo and describe clothing via text prompt; the system generates a realistic try-on result using GrabCut body segmentation and diffusion-based inpainting.
View ProjectCultural Fit Analysis
The candidate's portfolio of personal projects showcases a strong passion for AI and a proactive approach to skill development, which is a positive indicator for cultural fit in an innovative AI-focused environment. The diversity of projects (virtual try-on, requirement analysis, cheat detection) suggests adaptability and a broad interest in applying AI to different domains. However, the professional experience is not directly in AI/ML development, which might require a period of adjustment to a pure engineering role. The candidate is currently pursuing a Bachelor's degree, indicating a continuous learning mindset.
Soft Skills & Operational Fit
The candidate demonstrates initiative and a strong drive for learning through self-directed AI projects. While current professional experience is in SQA and project coordination, the detailed project descriptions suggest an ability to manage tasks, coordinate technical components, and deliver functional solutions. The focus on AI automation and agentic systems aligns well with operational efficiency and innovative problem-solving.