About indu
I currently work on vision-based perception systems at Roadio, where I help take ideas from testing to real-world deployment to improve two-wheeler safety. My work includes building and improving deep learning models, making them more efficient, and integrating them into real products. During my MEng at UC Irvine, I worked on projects such as autonomous vegetation detection, medical image classification, and wildfire risk monitoring using hyperspectral data, which strengthened my understanding of image and signal processing. I’m also interested in expanding my work closer to hardware and embedded platforms, where performance, efficiency, and reliability truly matter. I believe growth comes from the experiences you gain and the people you learn from, more than titles. I enjoy building real-world AI solutions, continuously learning, and collaborating with teams driven by impact. Always happy to connect with like-minded engineers and builders.
Key Skills
Experience
Computer Vision Engineer
CurrentRoadio
Making two-wheelers safer than cars
Junior Computer Vision Engineer
Roadio
Improving model performance through hyperparameter tuning, dataset balancing, and augmentation strategies. Supporting the pipeline from dataset preparation to model deployment, ensuring robustness in real-world driving conditions. This role gave me hands-on experience in applying state-of-the-art computer vision methods to real mobility safety challenges, while strengthening my expertise in model optimization, video-based testing, and applied AI.
Summer Intern
Roadio
* At Roadio, I focused on advancing two-wheeler safety through computer vision and deep learning. My work included: * Training and optimizing YOLO-based object detection models for traffic scenes and license plate recognition. * Enhancing detection accuracy with techniques like ROI-based detection, CLAHE image enhancement, and bounding box optimization. * Successfully testing detection models on real-world videos captured with fisheye camera views, adapting pipelines to handle distortion and wide-angle perspectives. * Improving model performance through hyperparameter tuning, dataset balancing, and augmentation strategies. * Supporting the pipeline from dataset preparation to model deployment, ensuring robustness in real-world driving conditions. * This role gave me hands-on experience in applying state-of-the-art computer vision methods to real mobility safety challenges, while strengthening my expertise in model optimization, video-based testing, and applied AI.
Education
Uc Irvine
Master Of Engineering
Bharathiar University, Coimbatore
Bachelor Of Engineering
Gd Matriculation Higher Secondary School
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Common Questions
What is indu's expertise?
indu specializes in Computer Vision Engineer, with expertise in architectural design, architecture, arm architecture, camera operation, computer vision.
Where is indu located?
indu is based in san francisco, california, united states.
How much experience does indu have?
indu has 2+ years of professional experience.
How can I contact indu?
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