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I am a computer science master's student at Georgia Tech, and a former data engineer for a Formula Racing team where I built high-speed telemetry pipelines.

I am a computer science master's student at Georgia Tech, and a former data engineer for a Formula Racing team where I built high-speed telemetry pipelines.

Endorsements

21+

Campus professional

About Me

Georgia Institute of Technology

Atlanta, GA, US

Computer Science

Class of 2027


University of California, Santa Barbara

Statistics & Data Science

Class of 06/2025


San Francisco, CA, USA

Skills

Programming Languages: Python, Java, SQL, JavaScript, R
Databases & Storages: PostgreSQL, MongoDB, MySQL, DuckDB, SingleStore, BigQuery
Data Engineering & Orchestration: dbt, Airflow, Spark, DVC, NanoMQ

Interests

Technology
Data science
Finance

Brands I Follow

Home From College

Interview Questions

Home From College

QA Specialist Needed

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Can you give an example of a detailed QA report you have created in the past?

In a previous project involving a telemetry system for a racing team, I documented failures where there were synchronization delays between the local buffer and the cloud. First I structured the report by first isolating the bottleneck within the NanoMQ and SingleStore pipeline, then provided the exact steps to reproduce the timeout error. The report includes technical logs from the reverse proxy and a severity assessment to ensure that the team could prioritize the fix to restore our live dashboard session.

Home From College

QA Specialist Needed

Home From College Profile Image

How do you approach identifying and documenting bugs in digital products?

I approach identifying bugs by trying to isolate the environment and comparing actual behavior against the business logic to pinpoint the root cause.

Once identified, I will document the issue by providing step by step reproducibility instructions along with technical context like console logs or API errors in markdown.

Lastly, I try to categorize the bug by severity, for example from minor UI glitches to critical pipeline failures which ensures that the team can prioritize the most impactful fixes.

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