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@amardeepamardeep
Computer Science undergraduate specializing in AI, building ML models and cloud-deployed solutions.
I am a Computer Science and Engineering student focused on Artificial Intelligence, with hands-on experience building ML prototypes and deploying models to cloud platforms. I have applied practical skills in Python, OpenCV, TensorFlow, and cloud services through internships, hackathons, and academic projects.
My projects include a smart traffic signal control using YOLO for real-time vehicle counting and a driver drowsiness detection system using CNNs and OpenCV, both emphasizing real-time processing and practical deployment considerations. I collaborated in a medical-awareness hackathon, contributing to model building and UI workflow design.
I am driven by rapid prototyping, teamwork, and producing deployable solutions; I aim to join a team where I can continue developing ML systems, cloud deployment skills, and deliver tangible product impact.
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Work history, roles, and key accomplishments
Noida Institute of Engineering and Technology
Nov 2022 - Present (3 years)
Developed AI projects including a real-time traffic signal control using YOLO/OpenCV and a driver drowsiness detection system using CNNs, improving traffic flow optimization and real-time fatigue detection.
Edunet Foundation
Jul 2024 - Aug 2024 (1 month)
Deployed a machine learning model to cloud (Azure/AWS) for live inference and worked on real-world AI and cloud applications during a two-month internship, improving deployment and ML pipeline skills.
Geeks for Geeks
Oct 2024 - Present (1 year 1 month)
Collaborated with a three-member team in a medical awareness hackathon to design a prototype solution, contributing to model building and UI workflow planning under rapid prototyping constraints.
Degrees, certifications, and relevant coursework
Bachelor of Technology, Computer Science and Engineering – Artificial Intelligence
2022 -
Activities and societies: Workshops and training in Python, Java, Web Development; projects include Smart Traffic Signal Control and Driver Drowsiness Detection System.
Pursuing Bachelor of Technology in Computer Science and Engineering with a specialization in Artificial Intelligence, with coursework and projects in Python, OpenCV, and machine learning.
Standard - 12th (CBSE), Higher Secondary (Class 12)
2020 - 2021
Grade: 83.4%
Completed Class 12 (CBSE) with an 83.4% score, focusing on higher secondary curriculum.
Standard - 10th (CBSE), Secondary (Class 10)
2018 - 2019
Grade: 86.8%
Completed Class 10 (CBSE) with an 86.8% score, covering foundational secondary education subjects.
Software and tools used professionally
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