🎯
kasyap dharanikota
@kasyap1234
Joined on 04 January 2021
GitHub Stats
29
Followers
143
Repositories
0
Organizations
1
Gists
74
Pull Requests
3
Issues
819
Commits
0
Sponsors
9
Contributed To
4
Star Earned
Most Used Languages
34.61%
TypeScript
32.48%
Go
21.66%
Python
6.02%
JavaScript
2.20%
Shell
1.74%
CSS
0.49%
Jupyter Notebook
0.38%
HTML
Popular Projects
-Generative-Modeling-by-Estimating-Gradients-of-the-Data-Distribution-implementation
implementation of Generative Modeling by Estimating Gradients of the Data Distribution
Python
1
0
0
1
image-dehazing-using-visual-transformers-
No description
Python
1
0
0
1
Bandwidth-monitoring
No description
JavaScript
1
0
0
7
react
Created with StackBlitz ⚡️
JavaScript
1
0
0
1
stock_bot_langgraph
No description
Python
0
0
0
1
inventory_management
No description
Go
0
0
0
1
Top Contributions
Top contributions made by the user in the last year.
Charts
Follow Up
Activity Graph
Contributions Calendar
Contributions made by the user in the last 365 days.
Recent Activity
9/28/2025, 12:30:44 PM
Pushed 3 commit(s) to kasyap1234/zen-desktop on branch master
- Update changelog (#464)
- Add Winget installation instructions to README(#462)
- Optimize ruletree node memory usage (#458) * Optimize ruletree node memory usage Reduce nodeKey struct size from 16 to 8 bytes by using a single type for kind and tokenID. This saves memory and improves cache locality. I am making an assumption that we will not have more than 2^4=16 kinds of nodes and not more than 2^28=268435456 unique tokens. * Use single mutex to protect node data and children Each node in ruletree have two RWMutex structures that is 48 bytes per node. This change uses a single Mutex to protect both children and data structures which uses only 8 bytes of memory. This is a trade-off between concurrency and memory usage, but in practice the contention is low and the memory savings are significant. * Compact rule tree nodes to save memory Once filter is done loading rules, we can compact the rule tree nodes to save memory. Support is added to the filter only, server can still break down rules into smaller chunks.
9/27/2025, 4:31:27 PM
starred repository jesseduffield/lazygit
9/24/2025, 10:00:13 PM
starred repository firecrawl/firecrawl
9/22/2025, 2:29:17 PM
Forked ZenPrivacy/zen-desktop to
9/22/2025, 2:04:29 PM
Created New branch on kasyap1234/zen-desktop branchfix/csp
9/16/2025, 10:56:30 PM
Created New branch on kasyap1234/stock_bot_langgraph branchmain
9/16/2025, 10:51:59 PM
Created New repository on kasyap1234/stock_bot_langgraph
9/16/2025, 10:15:31 PM
Pushed 1 commit(s) to edduhub/edduhub on branch main
- refactor(middleware): split auth middleware into modular files and add comprehensive unit tests refactor(repository): split repositories into CRUD/query modules and add extensive tests feat(services/course): implement full course service with validation and business logic The changes reorganize the authentication middleware from a monolithic structure into focused modules (session, JWT, role, permission, ownership, profile, college) for better maintainability. Comprehensive unit tests were added for each module, replacing the old monolithic test file. Repository layers were refactored by splitting large files into dedicated CRUD and query modules for assignments, attendance, courses, and enrollments. Extensive test suites were added to ensure functionality and error handling. The course service was fully implemented with creation, update, query, and deletion operations, including input validation, business rule enforcement (e.g., duplicate name checks, college existence verification), and partial updates.
9/12/2025, 4:31:37 PM
Created New branch on edduhub/edduhub branchfeature/announcements
9/9/2025, 4:52:40 PM
9/8/2025, 10:19:51 PM
9/8/2025, 8:41:33 AM
Created New branch on kasyap1234/stock_bot branchmain
9/8/2025, 8:41:16 AM
Created New repository on kasyap1234/stock_bot
9/7/2025, 11:06:04 AM