Entry-Level AI Engineer (Machine Learning and Computer Vision)

I am a Computer Science graduate with hands-on experience in machine learning, computer vision, and AI-powered web applications.

I have developed a real-time smart surveillance system using Python, YOLOv8, and OpenCV to detect objects, classify anomalies, and generate real-time alerts from video feeds.

I have experience building backend services with FastAPI and integrating them with React dashboards for displaying live data and supporting frontend applications.

During my AI Research internship at GreenAI (NASTP), I worked on crop type detection, satellite imagery analysis, multispectral data, and NDVI heatmap generation. I evaluated model limitations and proposed architectural improvements to improve classification accuracy.

I also developed an LLM-based chatbot with role-based access control for Admin, HR, and Employee users. I am interested in entry-level AI, machine learning, computer vision, and applied generative AI roles.