Nivitus Fernandez - AI Research Scientist - Drongo AI | Himalayas
Nivitus FernandezNF
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Nivitus Fernandez

@nivitusfernandez

Research Scientist and AI Engineer with expertise in computer vision.

India
Message

What I'm looking for

I am looking for a role that fosters innovation and allows me to leverage my AI expertise to solve complex problems while contributing to a collaborative team environment.

I am a passionate Research Scientist and AI Engineer with over three years of experience in industrial computer vision. My expertise lies in deep learning frameworks such as PyTorch and OpenCV, where I have successfully implemented state-of-the-art architectures for various applications. I am committed to driving innovation and improving operational efficiency through impactful AI solutions.

At Drongo AI, I have made significant contributions by developing advanced systems for medical imaging, including a bone suppression system that enhances radiological diagnosis. My work has consistently focused on optimizing AI workflows, achieving remarkable improvements in image quality and processing times. I thrive on challenges and enjoy leading end-to-end AI projects that deliver substantial business value.

Experience

Work history, roles, and key accomplishments

DA
Current

AI Research Scientist

Drongo AI

Dec 2024 - Present (7 months)

Researched and implemented denoising and deblurring for medical X-rays using traditional CV and deep learning, improving image quality by 30% with excellent PSNR metrics. Developed an X-ray bone suppression system in PyTorch using U-Net–based architecture and state-of-the-art methods, achieving an 80% reduction in bone visibility to enhance soft tissue clarity and support accurate radiological dia

AV

AI Engineer

Avathon

Mar 2022 - Present (3 years 4 months)

Architected use cases and custom computer vision models (Crowd Analysis, Intrusion, PPE Compliance, Accident Detection), optimizing the Nvidia DeepStream SDK pipeline and deploying across 1,000+ global cameras for retail safety and warehouse automation. Achieved a 90% improvement in accuracy by optimizing YOLO, ResNet, Efficientnet architectures for detection, classification and OCR models.

Education

Degrees, certifications, and relevant coursework

LC

Loyola College

Master of Computer Applications, Computer Applications

2018 - 2021

Grade: 7.1 / 10.0

Completed a Master of Computer Applications, focusing on advanced topics in computer science and applications. Achieved a GPA of 7.1 out of 10.0.

DC

Don Bosco College

Bachelor of Computer Applications, Computer Applications

2015 - 2018

Grade: 7.0 / 10.0

Undertook a Bachelor of Computer Applications, gaining foundational knowledge in computer applications. Maintained a GPA of 7.0 out of 10.0.

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