I'm Vedparkash Singh, a full-stack software engineer who builds scalable web apps and applied ML systems. I own features end-to-end and ship quickly with tests, focusing on clean code and reliable deployments. Recent work includes a talking-avatar Q&A site and a video answer pipeline, illustrating my ability to integrate frontend experiences with ML-powered backends and media processing.

Vedparkash Singh

I'm Vedparkash Singh, a full-stack software engineer who builds scalable web apps and applied ML systems. I own features end-to-end and ship quickly with tests, focusing on clean code and reliable deployments. Recent work includes a talking-avatar Q&A site and a video answer pipeline, illustrating my ability to integrate frontend experiences with ML-powered backends and media processing.

Available to hire

I’m Vedparkash Singh, a full-stack software engineer who builds scalable web apps and applied ML systems. I own features end-to-end and ship quickly with tests, focusing on clean code and reliable deployments.

Recent work includes a talking-avatar Q&A site and a video answer pipeline, illustrating my ability to integrate frontend experiences with ML-powered backends and media processing.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Work Experience

Software Engineer at ZineOne
July 1, 2022 - November 1, 2022
Developed and maintained enterprise web service components and APIs used by customer-facing applications. Automated CI/CD deployments, reducing typical deployment times by ~30% and lowering change-failure risk. Refactored a critical feature area to simplify configuration and accelerate releases; wrote tests and documentation.
Instructional Aide at UC San Diego
December 1, 2019 - December 1, 2021
Led labs and office hours on algorithms, recursion, and data structures for large courses; coordinated ~15 IAs/quarter. Authored handouts and grading rubrics that improved student outcomes and turnaround time; upheld FERPA compliance.
Software Engineer Intern at JPMorgan Chase
August 1, 2020 - September 1, 2020
Built an internal dashboard to visualize stock performance; tuned backend queries to reduce response times. Added tests and documentation for maintainability; collaborated with team on deployment.
Data Science Intern at Nuclei Technologies
June 1, 2021 - August 1, 2021
Developed a Random Forest sales forecaster with feature engineering; improved accuracy by ~20% on validation data. Delivered findings to non-technical stakeholders with clear visuals and summaries; organized code for reproducibility.
B2B Sales Representative (Contract) at AT&T
November 1, 2023 - April 1, 2024
Consulted SMB owners on internet/VOIP/fiber; prepared quotes, coordinated installs/porting, and maintained accurate CRM notes.
Chef & Event Coordinator at Food Truck Plazas
May 1, 2024 - May 1, 2025
Planned city-permitted food truck plazas (2–3k attendees): permits/compliance, vendor vetting, site plans, budgets, and on-site ops.

Education

B.S. Cognitive Science (Specialization: Machine Learning & Computation) at UC San Diego
October 22, 2018 - June 16, 2022

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Computers & Electronics, Education, Professional Services