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vedaansh jethliaVJ
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vedaansh jethlia

@vedaanshjethlia

I build Python data pipelines, computer vision applications, and automated firmware testing frameworks.

United States
Message

I've built automated firmware testing frameworks at Allegion, using Python to accelerate regression cycles and save over two weeks of manual testing per release.

At Purdue's Biomechanics Research Lab, I construct Python and MATLAB pipelines for continuous time-series data, extracting features that support predictive machine learning baselines.

I also led a four-person team to build DimEnvision, a Flask-based computer vision web application that measures real-world objects using a dime as a reference scale.

Experience

Work history, roles, and key accomplishments

VC
Current

Sales Representative & Account Specialist

Vector Marketing - Cutco

Aug 2026 - Present (2 months)

Generated and qualified individual sales leads through targeted referral networking and direct client prospecting. Delivered structured, interactive product value demonstrations to prospective customers, tailoring pitches to individual client needs.

BU
Current

Undergraduate Student Researcher

Biomechanics Research Lab - Purdue University

Jan 2026 - Present (9 months)

Constructed end-to-end data processing pipelines in Python and MATLAB to clean, segment, and analyze large continuous time-series datasets. Extracted statistical time-domain and frequency-domain features from raw acceleration curves to establish a structured training baseline for predictive machine learning models.

Education

Degrees, certifications, and relevant coursework

Purdue University logoPU

Purdue University

Bachelor of Science, Artificial Intelligence

Grade: 3.6 GPA

Pursuing a Bachelor of Science in Artificial Intelligence with an expected graduation in May 2029. Includes majors and certificates in Applied Statistics, Data Science, and Entrepreneurship & Innovation.

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