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Vanshika Choudhary

@vanshikachoudhary2

C++ systems engineer at SYNOPSYS who cut runtime by 60% and built an LLM-based regression testing agent.

India
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At SYNOPSYS, I re-architected a C++ module generator to emit reusable designs directly in netlist format, reducing runtime by 60%. I also made targeted algorithmic optimizations.

I built an instrumentation tool to track object construction and destruction by class, helping expose leak patterns and cut memory footprint by about 40%. I added input validation, exception handling, and error recovery to critical processing paths, lowering crash rate by 24%.

In multithreaded production code, I found and fixed race conditions, deadlocks, and synchronization bugs using GDB. I also refactored performance-critical C++ modules, reducing the technical debt count for functions from 50 to as low as 9.

I built an LLM-based agent that runs the daily regression suite and routes failing tests to the right owners. Earlier, as an R&D Engineering Intern at SYNOPSYS, I modernized legacy C code and improved runtime by 9%; at EXPEDIA, I worked on pricing data access and customer-facing features.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Indira Gandhi Delhi Technical University for Women logoIW

Indira Gandhi Delhi Technical University for Women

Bachelor of Technology, Computer Science and Engineering

2020 - 2024

Grade: 9.31/10

Pursued a Bachelor of Technology in Computer Science and Engineering, achieving a GPA of 9.31/10.

Tech stack

Software and tools used professionally

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