Surya Mishra
Senior Manager at Axis Bank
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolSurya Mishra is a Senior Manager and applied scientist with six years of hands-on experience building ML and computer vision solutions in industry environments from Amazon to Axis Bank. Trained at IIT ISM Dhanbad, he blends a robotics and research-oriented background with pragmatic product delivery, moving models into production and improving model tooling. He contributes to prominent open-source projects like keras, where he refined loss functions and ModelCheckpoint behavior, showing attention to numerical correctness and reliable training workflows. Comfortable across NLP, robotics, and backend ML engineering, he has held roles spanning applied science, NLP engineering, and technical coordination of robotics clubs. Based in Bengaluru, Surya is known for learning continuously—choosing small technical improvements that reduce technical debt while accelerating model development. His profile reflects a rare mix of academic rigor, open-source impact, and cross-functional delivery in enterprise settings.
6 years of coding experience
2 years of employment as a software developer
Bachelor of Technology Mineral and Metallurgy Engineering, Bachelor of Technology Mineral and Metallurgy Engineering at Indian Institute of Technology (Indian School of Mines), DhanbadHigh School Science, High School Science at DAV Public School ChandrasekharpurSchool, School at Chinmaya vidyalaya Chennd Colony
English
Github Skills (6)
machine-learning10
deep-learning10
tensorflow10
python10
data-science9
neural-network9
Programming languages (7)
Github contributions (5)
keras-team/keras
Jul 2021 - Jan 2023
Deep Learning for humans
Role in this project:
Back-end Developer
Back-end DeveloperContributions:26 reviews, 28 commits, 11 PRs in 1 year 5 months
Contributions summary:Surya primarily contributed to the `keras-team/keras` repository, focusing on the implementation of loss functions. Their work involved modifying existing loss functions by removing unnecessary data type casts, particularly in the `keras/losses.py` file. Further contributions included the addition and refinement of parameters within the `ModelCheckpoint` callback function.
pythondata-sciencedeep-learningneural-networksmachine-learning
old-school-kid/my-portfolio
May 2021 - Nov 2024
Contributions:2 PRs, 37 pushes, 3 branches in 3 years 7 months
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