Summary
Tushar Nimbhorkar is a Senior Machine Learning Engineer with 10 years of experience specializing in computer vision, deep learning, biometrics, and anti-fraud applications. Holding an M.Sc. in Artificial Intelligence from the University of Amsterdam, he has led production-focused projects—deploying gaze, blink, and state-of-the-art deepfake detection models that achieved >90% accuracy and real-time on-device performance. He has a track record of turning research into fast, efficient solutions, including mobile CNNs that enhance photos to DSLR quality under 50ms and relighting models under 10ms. Proficient in Python, C++, Matlab, TensorFlow, PyTorch and CUDA, he combines strong engineering skills with practical data pipelines and visualization expertise. Now at Multiverse Computing, he continues to bridge academic rigor and industry needs, applying ML to challenging, adversarial domains. Colleagues value him for shipping measurable results and optimizing models for both accuracy and low-latency deployment.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Technology (B.Tech.) Computer Engineering, Bachelor of Technology (B.Tech.) Computer Engineering at National Institute of Technology Surat
Master of Science (M.Sc.) Artificial Intelligence, Master of Science (M.Sc.) Artificial Intelligence at University of Amsterdam
English