Tejass Kaushik

Education

Western University

Sep. 2026 – Expected 2030

B.Sc. in Computer Science; Ivey Advanced Entry Opportunity (AEO)

Experience

Founding Software Engineer

Aug. 2026 – Present

Anticipation Labs / Anticipy

  • Required a browser test when Anticipy's consent page blocked provider sign-in despite server success. The Claude/Codex repair reached Google and Notion sign-in screens.
  • Defined consent, citation, spending and deletion requirements for a private AI work-preparation prototype, validated locally. The hosted account preview kept AI processing disabled.
  • Tested native apps on phones and operated prototype wearables through USB, reset and recovery. Firmware installation and recovery were verified; audio and pairing qualification remained incomplete.
  • Directed substantial Claude and Codex implementation and review on the team's existing code; set priorities and checked results against release criteria.

Chief Technology Officer; previously Deputy CTO

Aug. 2025 – Jul. 2026

Stellar Learning

  • Helped change IB question generation when AP prompts did not fit the curriculum, using my own IB studies to assess the questions. They seemed more accurate after the changes; that was my observation, not a measured benchmark.
  • Worked on IB practice systems and improved AP question and lesson harnesses. Teammates and AI tools handled much of the algorithm development and API prompting. Some IB features shipped; much remained unfinished.

Software Engineering Intern

Jul. 2025 – Aug. 2025

DocuBridge | https://github.com/tejask-dev/Docubridge-Intership

  • Developed a Python/Flask and React prototype for exploring Excel and CSV uploads through charts, summaries and natural-language questions.
  • The prototype links worksheet selection to analysis and questions, with Pandas processing the data and Plotly rendering the charts.

Research

Co-author / Student Researcher

2025

Youreka Canada | https://yourekacanada.org/youreka-journal-2025

  • Handled much of the writing, analysis and coordination for a study of adolescent fertility and pediatric HIV treatment coverage across 34 Sub-Saharan African countries; coded the graphs in R, with AI helping me research sources and learn R.
  • Published in the 2025 Youreka Canada Journal as the national first-place team study, co-authored with Liyona Wang, Shikai Jin and Elijah Murtagh.

Projects

Technical Skills

Languages
Python, TypeScript, R
Frameworks and Libraries
React, Flask, Pandas, Plotly
Tools and Practice
Git, browser and device testing, API integration, AI-assisted development