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Johan ArulJA
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Johan Arul

@johanarul

AI/ML student and developer building computer-vision and NLP solutions with production-focused accuracy.

India
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What I'm looking for

I seek roles building applied AI systems (computer vision/NLP) where I can impact product outcomes, collaborate cross-functionally, and grow technical plus management skills.

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

Education

Degrees, certifications, and relevant coursework

Christ (Deemed to be) University logoCU

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.

SC

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%.

SS

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%.

Tech stack

Software and tools used professionally

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Johan Arul - Group Lead Project Intern - Intel | Himalayas