Aditya Pratap Singh

About Aditya Pratap Singh

I am a final-year Computer Science student at J C Bose university of science and Technology with a strong foundation in programming, data analysis, and emerging AI technologies. I enjoy transforming data into meaningful insights and building solutions that solve real-world problems.My key interests include: • Data Science & Analytics – Data modeling, visualization, predictive analytics• Machine Learning & Generative AI – Exploring modern algorithms and AI systems• Software Development – Hands-on experience with Python, R, SQL, and project-based codingI am continuously improving my English communication and interview skills to better articulate technical ideas and perform confidently in professional environments. I am seeking internship opportunities where I can contribute to impactful projects, learn from experienced teams, and grow as a data science and AI professional.Let’s connect and explore how we can collaborate!

Experience

1. Engineer Intern

   Imperial Auto Industries

   Jan 2026 — Present

   AI InternWorking as an AI Intern in an automobile manufacturing environment, contributing to the implementation of an AI-based Surveillance System to monitor SOP (Standard Operating Procedure) adherence on the shop floor. Project: AI-Based SOP Compliance Monitoring System••Collaborated with hardware and infrastructure teams to understand camera setup, server configuration, and edge GPU processing••Gained practical exposure to AI surveillance architecture including IP cameras, NVR, server, and cloud integration••Assisted in data collection and image/video dataset preparation from production lines••Performed image annotation and labeling using labeling tools for object detection model training••Understood YOLO-based object detection workflow for identifying SOP deviationsMonitored workstation violations such as missing components, incorrect assembly sequence, safety gear non-compliance (helmet/gloves), improper positioning, and process skipping••Coordinated with quality and production teams to define SOP checkpoints••Supported testing and validation of the AI model in real-time production environmentLearned deployment flow from edge device to cloud (AWS) for monitoring and alert generation Exposure To:Computer Vision | Data Annotation | AI Model Training Workflow | Industrial AI Systems | Edge Computing | Cloud Monitoring | SOP Compliance Automation

Education

• Shanti Niketan School

  Class X, First Division

• J.C. Bose University of Science and Technology, YMCA

  Bachelor of Technology - BTech, Computer Science

• Shanti Niketan School

  Class XII, First Division

• Satyug Darshan Institute of Engineering & Technology

  Bachelor of Technology, Computer Engineering

• Shanti Niketan Public School

  12, Science