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tejasvi230

PROFILE

Tejasvi230

Tejasvi developed a suite of algorithmic features in the GDG-IGDTUW/DSA-1 repository over two months, focusing on practical problem-solving and performance. Using C++ and leveraging skills in algorithm design, dynamic programming, and data structures, Tejasvi implemented modules such as a Twitter-like social platform, a gas station route planner, and a graph algorithms toolkit. The work included enhancements to internal data handling with stack and LRU cache implementations, as well as solutions for BFS-based problems and financial analytics like the Best Time to Buy and Sell Stock IV. The contributions demonstrated depth in both user-facing features and scalable algorithmic templates.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

19Total
Bugs
0
Commits
19
Features
7
Lines of code
648
Activity Months2

Work History

February 2026

1 Commits • 1 Features

Feb 1, 2026

February 2026: Delivered a key feature enhancement in GDG-IGDTUW/DSA-1 by integrating the Best Time to Buy and Sell Stock IV algorithm, expanding the financial analytics capabilities and stock trading strategy support. This involved implementing a dynamic programming solution to compute maximum profit with up to K transactions, enabling more accurate profitability modeling and data-driven decision-making.

January 2026

18 Commits • 6 Features

Jan 1, 2026

January 2026: Delivered a focused, high-value set of algorithmic features in the DSA-1 repository, emphasizing end-to-end user functionality, route optimization, data-structure enhancements, graph utilities, and a broad problem-solution suite. The work strengthens business value by enabling faster feature delivery, improved runtime performance, and richer tooling for modeling and solving common algorithmic problems. Key accomplishments this month include delivering a social functionality module, a gas-station route planner, enhanced internal data structures, an extensive graph algorithms toolkit, and continued expansion of a general algorithmic problems suite. Each area demonstrates practical impact—from user-facing capabilities to performance-oriented internals and scalable problem-solving templates.

Activity

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Quality Metrics

Correctness98.0%
Maintainability90.4%
Architecture93.8%
Performance87.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++

Technical Skills

C++C++ programmingalgorithm designalgorithm developmentbacktrackingdata structuresdepth-first searchdynamic programminggraph theorygreedy algorithmsobject-oriented programmingproblem solving

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

GDG-IGDTUW/DSA-1

Jan 2026 Feb 2026
2 Months active

Languages Used

C++

Technical Skills

C++C++ programmingalgorithm designalgorithm developmentbacktrackingdata structures

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