DPAI/ML Intern
Devarsh Prajapati portrait

Computer science senior building practical software skills

Fourth-year CS student with hands-on experience, focused on turning coursework and early projects into professional work.

Work samples

Practical projects from coursework and early work experience that show technical skills, problem solving, and readiness for professional software roles.

  • ContextCode Live demo | GitHub
    ContextCode Live demo | GitHub
    ContextCode Live demo | GitHub

    Built an AI codebase assistant that indexes Python/JS/TS repos with Tree-sitter, chunking by function, class, and module so retrieval never splits a function mid-body; grounded answers in retrieved code with exact file:line citations; scaled indexing with Celery workers behind an async FastAPI strea

    FastAPICeleryTree-sitterChromaDBNext.js
  • SixRise Live demo | GitHub
    SixRise Live demo | GitHub
    SixRise Live demo | GitHub

    Built an AI visibility platform for Shopify stores that measures product recommendations by AI shopping engines; enforced a hallucination-safe publishing path with structured outputs and deterministic verification; architected a two-service Shopify app isolating merchant credentials with a TypeScrip

    FastAPITypeScriptPostgresRedisShopify

About me

Fourth-year CS student with hands-on experience, focused on turning coursework and early projects into professional work.

I am Devarsh Prajapati, a fourth-year computer science student pursuing a bachelors degree. I have some work experience and am preparing to move from learning into a career in software development and related fields.

Experience

AI/ML Intern

Automators Lab · May 2025 – Sep 2025

Education

York University

BSc. Honours in Computer Science · Class of 2026

Skills

Computer science fundamentalsSoftware developmentProgramming and problem solvingProject-based experience

ContextCode Live demo | GitHub

Built an AI codebase assistant that indexes Python/JS/TS repos with Tree-sitter, chunking by function, class, and module so retrieval never splits a function mid-body; grounded answers in retrieved code with exact file:line citations; scaled indexing with Celery workers behind an async FastAPI strea

FastAPICeleryTree-sitterChromaDBNext.js

Overview

ContextCode Live demo | GitHub
View all work

SixRise Live demo | GitHub

Built an AI visibility platform for Shopify stores that measures product recommendations by AI shopping engines; enforced a hallucination-safe publishing path with structured outputs and deterministic verification; architected a two-service Shopify app isolating merchant credentials with a TypeScrip

FastAPITypeScriptPostgresRedisShopify

Overview

SixRise Live demo | GitHub
View all work