Vedant Cacklur
Software Consultant at PrimeVault
Hyderabad, Telangana, India
Summary
👤
Senior🎓
Top SchoolVedant Cacklur is a versatile full-stack software consultant with 10 years of experience building backend, frontend, and DevOps solutions across startups and larger tech firms like Uber and Rippling. Currently based in Hyderabad, he balances consultancy roles and in-house engineering work while actively exploring web3 technologies. His open-source contributions include bug fixes and algorithmic enhancements to the well-known aima-python repository, demonstrating deep familiarity with AI search algorithms such as alpha-beta pruning and and-or graph search. A strong IIITH computer science graduate with a high academic record, Vedant combines algorithmic rigor with practical production experience delivering scalable systems. Notably, he moves between consulting and product engineering roles, which gives him a rare blend of rapid delivery mindset and long-term system thinking.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, 9.01, Bachelor of Technology - BTech, Computer Science, 9.01 at International Institute of Information Technology Hyderabad (IIITH)
Github Skills (8)
algorithm10
data-structures10
algorithms10
artificial-intelligence10
python10
data-structure10
game-development9
back-end-development9
Programming languages (10)
Github contributions (5)
aimacode/aima-python
Mar 2016 - Aug 2017
Role in this project:
Back-end Developer
Back-end DeveloperContributions:66 commits, 90 PRs, 148 comments in 1 year 5 months
Contributions summary:Vedant primarily contributed to the back-end logic of the Python implementation of algorithms from "Artificial Intelligence - A Modern Approach." Their commits focused on fixing bugs related to alpha-beta pruning in the `alphabeta_search` function within the `games.py` file. Additionally, the user refactored and corrected errors in functions such as `argmin`, `argmax`, and implemented the `and_or_graph_search` algorithm. These contributions demonstrate a focus on improving and extending the core algorithms within the project.
pythonpython-implementationapproachartificialmachine-learning
Chipe1/aima-python
Mar 2016 - Aug 2017
Contributions:122 pushes, 131 branches in 1 year 5 months
pythonpython-implementationapproachartificialmachine-learning
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