Animikh Aich

Boston, Massachusetts, United States
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Summary

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Animikh Aich is a Computer Vision and ML Engineer with 10 years of experience building production-ready machine learning systems that tackle hard, real-world vision problems. Based in Boston, he has led teams and shipped scalable video analytics and edge/cloud deployments—designing solutions that processed hundreds of cameras, reduced false positives by up to 95%, and accelerated data-to-production workflows threefold. His research-driven background at Boston University blends sensor fusion, autonomous driving simulation, and multimodal representation learning with practical expertise in synthetic data, model serving (TensorFlow Serving, Triton), and edge inference on devices like NVIDIA Jetson. Comfortable moving between R&D and productization, he has published and prototyped novel augmentation and generative approaches while also building internal tooling and patents-grade systems. Not obviously visible from titles alone, he combines deep academic experimentation (e.g., Transfuser, CARLA studies) with hands-on engineering that scales to global deployments in regulated industries.
code10 years of coding experience
job6 years of employment as a software developer
bookBachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering at Visvesvaraya Technological University
bookMaster of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Boston University
languagesHindi, Bengali, English
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Stackoverflow

Stats
638reputation
95kreached
15answers
8questions
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Github Skills (108)

cnn-classification10
cnn-keras10
flask-application10
image-restoration10
autoencoder10
super-resolution10
convolutional-neural-networks9
object-tracking9
anonymize9
whisper9
object-detection9
computer-vision9
trainer9
python9
flask9

Programming languages (6)

TypeScriptShellGoHTMLJupyter NotebookPython

Github contributions (5)

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Contributions:4 commits, 2 pushes in 11 months
A flask app to give a demo of Facial Recognition - Deployed with Live Demo.
Contributions:1 release, 1 review, 40 commits in 2 years 1 month
facial-recognitionflaskflask-applicationdashboardface-detection
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