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AI Engineer with 1+ years in AI-powered applications and 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
Virtual 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. Tech: Python, Stable Diffusion (runwayml), Diffusers, OpenCV, Gradio, HuggingFace Spaces, NumPy, PIL.
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. Tech: N8N, LLM Integration, Agentic AI, API Orchestration, Workflow Automation, Python.
View ProjectClient 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. Tech: Python, LLM, LangChain, Prompt Engineering, NLP, Document AI, Vercel, REST API.
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. Tech: Roboflow, Matplotlib, OpenCV, Object Detection, Computer Vision.
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong interest and self-driven initiative in AI/ML, with diverse projects spanning computer vision, NLP, and generative AI. This indicates a passion for innovation and continuous learning, which aligns well with a dynamic tech culture. The personal nature of all projects suggests a high degree of autonomy and problem-solving drive. However, the lack of team-based AI project experience means their collaboration style in an AI development context is not explicitly demonstrated.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and hands-on approach to learning and applying new technologies. Their experience as a Jr. SQA Engineer and Trainee Project Coordinator suggests an understanding of project coordination and quality assurance, which can be beneficial in an operational AI role. However, direct experience in a dedicated AI engineering role is limited, and the current SQA role is not directly aligned with the target AI Engineer position.