Johan Arul
@johanarul
AI/ML student and developer building computer-vision and NLP solutions with production-focused accuracy.
What I'm looking for
I am a B.Tech student in Artificial Intelligence and Machine Learning with hands-on internship experience developing predictive models and alert systems. During a summer internship at Intel, I collaborated with peers to build a vehicle cut-in detection model that reached 90% accuracy on the IDD-Indian Driving Dataset.
I design end-to-end AI systems spanning computer vision and NLP — examples include a real-time two-wheeler helmet detection and fine management system, a stock price prediction model with sentiment analysis, and a personalized AI interview-prep agent integrating speech and facial analysis.
I combine technical skills in Python, PyTorch/TensorFlow, OpenCV and cloud fundamentals with strong communication and teamwork, and I am pursuing a minor in General Management to bridge technical execution with business impact.
Experience
Work history, roles, and key accomplishments
Group Lead Project Intern
Intel
May 2024 - Jul 2024 (2 months)
Led a 4-member intern team to develop a Vehicle Cut-In Detection predictive model and driver alert system, achieving 90% accuracy on the IDD-Indian Driving Dataset and improving team communication.
Education
Degrees, certifications, and relevant coursework
Christ (Deemed to be) University
Bachelor of Technology, Artificial Intelligence and Machine Learning
2022 -
Grade: 7.45/10
Pursuing a B. Tech in Artificial Intelligence and Machine Learning with a minor in General Management; relevant coursework includes Artificial Intelligence, Machine Learning, Cloud Computing, and Generic Programming.
St Joseph’s PU College
Pre-University Course, Pre-University (PCMC)
2020 - 2022
Grade: 82%
Completed Pre-University (Physics, Chemistry, Mathematics, Computer Science) with a percentage of 82%.
Sri Basaveshwara English High School
SSLC, Secondary Education
2019 - 2020
Grade: 89.6%
Completed SSLC under the Karnataka State Board with a percentage of 89.6%.
Availability
Location
Authorized to work in
Job categories
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