Atharva Deshmukh
Research Fellow at Microsoft
Mumbai, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolAtharva Deshmukh is a research-focused ML engineer specializing in deep learning for natural language processing, currently a Research Fellow at Microsoft with nine years of experience across academia and industry. He combines a strong research background from IIT Patna and internships at IBM and IIT Kharagpur with hands-on MLOps work—evidenced by contributions to a real-time fire-detection CNN repo where he managed training and deployment infrastructure. An active competitor in hackathons and challenges, he pairs practical model-building with disciplined data structures and algorithms practice. Atharva is passionate about knowledge sharing and mentoring, having coordinated ML activities at NJACK, IIT Patna. He stays current with cutting-edge methods while focusing on reproducible, production-ready ML systems that bridge research prototypes and deployed solutions. Based in Mumbai, he brings both scholarly rigor and pragmatic engineering to applied NLP problems.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Indian Institute of Technology, PatnaKendriya Vidyalaya Sangathan
Github Skills (10)
mask-rcnn10
computer-vision10
faster-rcnn10
mlops10
tensorflow10
python10
bash9
script9
dockers5
docker5
Programming languages (1)
Github contributions (5)
tobybreckon/fire-detection-cnn
Jul 2018 - Aug 2018
real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)
Role in this project:
MLOps Engineer
MLOps EngineerContributions:19 commits in 21 days
Contributions summary:Atharva's contributions primarily revolve around setting up and managing the infrastructure for training and deploying a convolutional neural network for fire detection. They focused on modifying the download script for pretrained models, fixing file paths and directory issues, and integrating the model with the superpixel and binary scripts. The user also incorporated the Tensorflow framework for model training and evaluation.
pytorchicipdeep-learningdeep-neural-networkconvolutional-neural-network
atharva333/ransac-surface-detection
Oct 2018 - Oct 2018
Contributions:12 commits, 7 pushes, 1 branch in 2 days
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