Surya Cheedella
Founder at Proxima Labs
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolSurya Cheedella is a founder and engineer with 11 years of experience building machine learning and robotics solutions from research to production. He co-founded AdPix Technologies and Proxima Labs after hands-on roles at CloudSek—where he engineered NLP and computer-vision systems to autonomously log into and index deep-web pages—and a GSoC stint working with Peter Norvig on the widely used aima-python repository. His open-source contributions focused on refactoring and improving AI utility functions and tests, reflecting a strong emphasis on code quality and maintainability. Trained at BITS Pilani in Electrical and Electronics Engineering, he blends academic rigor with practical systems-building and an unusual knack for solving interaction problems (e.g., automating complex web logins and breaking advanced CAPTCHAs) without relying solely on image recognition.
11 years of coding experience
1 year of employment as a software developer
B.E (Hons.), Electrical and Electronics Engineering, B.E (Hons.), Electrical and Electronics Engineering at Birla Institute of Technology & Science, PilaniHigh School, 97.2 %, High School, 97.2 % at sri chaitanya junior college
English, Telugu
Github Skills (5)
algorithm10
algorithms10
refactoring10
python10
unit-testing9
Programming languages (7)
Github contributions (5)
aimacode/aima-python
Mar 2016 - Aug 2016
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Role in this project:
Back-end Developer
Back-end DeveloperContributions:83 commits, 43 PRs, 31 pushes in 5 months
Contributions summary:Surya primarily focused on refactoring and improving the utility functions within the `aima-python` repository, particularly those related to artificial intelligence algorithms. They moved doctests to a dedicated testing file, refactored existing functions like `count_if`, and added methods for manhattan distance calculations. Their contributions included debugging, and enhancing existing code functionality, demonstrating a focus on code quality and maintainability within the project.
pythonpython-implementationapproachartificialmachine-learning
SnShine/Utilities
Oct 2014 - Jan 2018
Contributions:23 commits, 8 pushes, 1 comment in 3 years 3 months
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