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TN@tusharnimbhorkar
I'm a Senior Machine Learning Specialist with computer vision, NLP and deep learning.
BrazilI am actively seeking a role that allows me to leverage my extensive expertise in computer vision, deep learning, and NLP. I am particularly interested in positions that involve leading and contributing to projects focused on cutting-edge technologies such as Generative AI.
I'm Tushar Nimbhorkar, a Senior Machine Learning Specialist with computer vision, deep learning, and anti-fraud applications expertise. With a Master's degree in Artificial Intelligence and a Bachelor's degree in Computer Engineering, I have a solid academic foundation.
In my current role at SensityAI, I lead projects focused on deep fake detection, gaze estimation, and blink detection using advanced convolutional neural network (CNN) models. Previously, at 3DUniversum, I developed mobile image enhancement solutions and worked on face relighting and perceptual colour enhancement models.
I have a solid technical skill set; I am proficient in Python, C++, Matlab, and various deep learning and machine learning frameworks like Tensorflow, PyTorch, Keras, Numpy, and SkLearn. I am also experienced in data cleaning/processing using tools like NumPy, SciPy, and pandas and data visualization using Matplotlib and Seaborn.
If you would like to connect or discuss potential opportunities, don't hesitate to get in touch with me via email or LinkedIn. I am passionate about leveraging my expertise to solve complex problems in artificial intelligence and machine learning.
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Work history, roles, and key accomplishments
PLPlagood
Nov 2022 - Present (3 years)
Few projects that I worked on.
- Developed and implemented a recommender system model for friend/user suggestions, resulting in an 85% increase in followings and followers.
- Designed and implemented a recommender system model based on graphs for content recommendation, resulting in a 95% increase in Likes and comments on content.
SESensity
Dec 2020 - Present (4 years 11 months)
Few projects I have worked with:
-Designed and implemented a deep learning model for Gaze Detection to accurately predict the gaze of a given facial image. Resulting in a 94% accuracy in test scenarios.
- Developed and implemented a deep learning model for DeepFake Detection to determine if the facial image is fake or real, resulting in a 99% accuracy in detecting any GAN-generated images.
DU3DUniversum
Feb 2018 - Nov 2020 (2 years 9 months)
Few of the projects I've worked with:
-Developed and implemented a Convolutional Neural Network (CNN) model that enhances the picture taken from a commercial mobile to the quality of DSLR in real-time, resulting in a 92% accuracy and running under 50ms per image (On device).
- Implemented and Succeeded in designing a Deep learning model that can relight any selfie taken from a commercial phone
Degrees, certifications, and relevant coursework
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