Niraj Verma
Nutrition And Fitness Consultant at Xenon Automotive
Maharashtra, India
Summary
👤
Senior🎓
Top SchoolNiraj Verma is a multidisciplinary engineer with 9 years of experience blending computer vision and machine learning for automotive applications while also advising clients on nutrition and fitness as a FITTR ambassador. He currently applies deep learning expertise at Xenon Automotive and provides personalized wellness coaching at FITTR, demonstrating a rare mix of applied research and client-facing coaching. His background includes ML roles at Flux Auto and a machine learning internship at Ebisu Technologies, underscoring hands-on experience taking models from prototype to production. A deep learning and computer vision enthusiast who quips that "Terminators will be reality in future," he pairs technical curiosity with practical deployment experience out of Maharashtra, India.
9 years of coding experience
1 year of employment as a software developer
Bachelor’s Degree, Information Technology, 7.5/10, Bachelor’s Degree, Information Technology, 7.5/10 at St. Francis Institute Of TechnologyHigher Secondary Education, Science, 81.33%, Higher Secondary Education, Science, 81.33% at Utkarsha Vidyalaya College of Arts,Science and CommerceSSC, PHYSICAL SCIENCES, 93.27%, SSC, PHYSICAL SCIENCES, 93.27% at Twinkle Star English High School
English, Marathi, Hindi
Github Skills (28)
keras10
object-detection10
yolov49
computer-vision9
deep-learning8
mask-rcnn8
instance-segmentation8
tensorflow8
linux8
windows8
neural-network7
deep-neural-networks7
face-recognition7
face-detection6
machine-learning6
Programming languages (4)
Github contributions (5)
nirajvermafcb/Data-Science-with-python
Dec 2016 - Oct 2017
This repository contains my various pet projects done on machine Learning and Deep learning.Some of them can be found on
Contributions:35 commits, 33 pushes, 1 branch in 10 months
deep-learningmachine-learning
nirajvermafcb/hello-world
Nov 2017 - Nov 2017
Contributions:2 PRs, 3 pushes, 5 branches in 1 day
javapython
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