Divyansh Srivastava
Graduate Student Researcher
San Diego, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDivyansh Srivastava is a software engineer and PhD student at UC San Diego with 10 years of experience building performant systems across OS, cloud, and research settings. He has shipped production features at Microsoft (Azure Linux Systems Group and PowerToys Run) and driven research-grade prototypes in autoregressive image generation and uncertainty-aware pose estimation. His open-source contributions include optimizing graph algorithms in the widely-used Julia LightGraphs package—implementing parallel Dijkstra and betweenness centrality with extensive testing—and mentoring distributed graph work in Google Summer of Code. At American Express AI Labs he made a Bayesian online changepoint detection approach practical by reducing complexity from O(n^2) to O(n) for a class of kernels, demonstrating a knack for turning theory into scalable systems. Comfortable across full-stack, systems, and ML research, he combines rigorous academic training from IIT Bombay and UCSD with hands-on delivery in large engineering organizations. An underrated strength is his pattern of improving algorithmic complexity while keeping an eye on usability and product integration.
10 years of coding experience
5 years of employment as a software developer
University of California, San DiegoIndian Institute of Technology Bombay
English, Hindi
Github Skills (19)
graph-algorithms10
xaml10
dijkstra10
parallel-computing10
dotnet-core10
csharp10
julia10
testing9
user-interface9
ui-design9
interface-design9
front-end-development9
uid9
data-structures8
wp-api8
Programming languages (8)
Github contributions (5)
microsoft/PowerToys
Mar 2020 - Oct 2020
Windows system utilities to maximize productivity
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:80 reviews, 102 commits, 195 PRs in 7 months
Contributions summary:Divyansh primarily contributed to the PowerToys Run project, focusing on the Wox launcher module. Their work involved removing and re-adding UI components, such as a notify icon component. They also removed setting UI XAML files and references. Furthermore, the user implemented functionalities like displaying info bars for blocked image paths, which suggests involvement in both UI/UX design and possibly backend logic for handling image rendering. The user also worked on display and execution of app functionality.
fancyzoneswindowspowerrenameproductivitymaximize
sbromberger/LightGraphs.jl
May 2017 - Sep 2017
An optimized graphs package for the Julia programming language
Role in this project:Back-end Developer
Back-end DeveloperContributions:8 commits, 14 PRs, 96 comments in 4 months
Contributions summary:Divyansh significantly contributed to the `lightgraphs.jl` project, focusing on optimizing graph algorithms, particularly Dijkstra's shortest path algorithm and betweenness centrality calculations. Their work involved implementing parallel versions of these algorithms and modifying existing code to include parallel processing. Additionally, the user refactored the code for maximum adjacency visit and non-visitor based strongly connected components. The user also incorporated extensive testing to validate the correctness and performance of the implemented algorithms.
graphsoptimizedjulia-programming-languagegraph-drawinggraph
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