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JY
Seeking software engineering opportunities

Joshua Yi

Software Engineer

Welcome to my personal website

Computer Science student at Santa Clara University with experience building full-stack, backend, and AI-powered applications. Seeking software engineering opportunities.

Santa Clara, CAB.S. Computer Science · Expected June 2027

Focus · Full-stack systems · Cloud · Applied AI

The person behind it

About

June 2027Expected graduation

I am a B.S. Computer Science student at Santa Clara University, expected to graduate in June 2027.

My experience includes real-time analytics, e-commerce systems, and AI-powered developer tooling using React, Next.js, Spring Boot, FastAPI, LangChain, Kafka, Redis, MySQL, PostgreSQL, AWS, and Azure AI Foundry.

I am seeking software engineering opportunities focused on backend, full-stack, cloud, and applied AI systems.

Right now

Interning at CrossRealms this summer — building LLM tooling and looking ahead to full-time SWE roles for June 2027.

Currently learning
  • Following how LLM/agent tooling is evolving
  • Sharpening system design fundamentals for interviews
Beyond code

Collecting Pokémon cards (and just about anything Pokémon) · Hiking trails around the Bay Area · Gaming in my free time

What I reach for

Technical Skills

Languages

  • Python
  • JavaScript
  • Java
  • C++
  • SQL
  • HTML/CSS

Frameworks and Libraries

  • React
  • Next.js
  • FastAPI
  • Spring Boot
  • Node.js
  • Express
  • SQLAlchemy

Cloud Platforms

  • AWS
  • Amazon EC2
  • AWS Lambda
  • Amazon ECR
  • Azure AI Foundry
  • Azure Blob Storage

Databases

  • MySQL
  • PostgreSQL
  • Redis
  • Elasticsearch

AI and Machine Learning

  • LangChain
  • RAG

DevOps and Infrastructure

  • Docker
  • Kafka
  • GitHub Actions
  • CI/CD

Tools

  • Git
  • REST APIs
  • Pytest
  • Postman
  • VS Code
Where I've worked

Professional Experience

  1. CrossRealms International logo

    AI Junior Engineer Intern

    CrossRealms InternationalChicago, IL · Remote
    Jun 2026 — Aug 2026

    Contributed to an internal AI-powered knowledge and onboarding platform featuring RAG, PII guardrails, and automated developer tools that accelerate development workflows.

    • Co-developed an LLM-driven unit-test generation pipeline using Python, LangChain, and Azure AI Foundry, generating 100+ tests across 25 modules and reducing test-development time by 40%.
    • Implemented Git utilities and Python AST / Pytest checks for automated code-change detection, LLM context building, and validation with retries for failed test generations.
    • Hardened the RAG pipeline by centralizing PII guardrails across FastAPI modules to ensure fail-closed protection.
    • Provisioned 12 Azure resources using Terraform (IaC), enabling reproducible environments and reducing onboarding time from 6 hours to 15 minutes.
    • Python
    • LangChain
    • Azure AI Foundry
    • FastAPI
    • Pytest
    • Terraform
    • RAG
  2. Capgemini logo

    Software Engineer Intern

    CapgeminiShanghai, China
    Jun 2025 — Aug 2025

    Contributed to a real-time analytics platform to detect EV event risks and KOL insights, driving data-informed decisions and enabling faster issue detection.

    • Implemented Kafka-based streaming pipelines to analyze sentiment and compute risks, storing results in MySQL.
    • Optimized FastAPI endpoints and queries with Redis caching, reducing API latency from ~200 ms to under 40 ms.
    • Built interactive React dashboards for real-time event tracking, risk assessment, and KOL analysis.
    • Dockerized the insights module to streamline workflows and deployment consistency.
    • Kafka
    • FastAPI
    • Redis
    • MySQL
    • React
    • Docker
Things I've built

Projects

NextAI — project screenshot
Conversational Document AI Agent

NextAI

Conversational document AI agent for text- and voice-based PDF queries across multiple documents.

Built · Built an AI-powered PDF chat assistant supporting voice and text querying with a custom GPT-5 agent for multi-document retrieval.

  • React
  • Express
  • LangChain
  • GPT-5
  • +2
View Project
Poli Shop — project screenshot
Full-Stack E-Commerce Web Application

Poli Shop

Full-stack e-commerce platform with authentication, checkout, order processing, and inventory management.

Built · Built a full-stack e-commerce platform with React, Next.js, and Spring Boot, deployed on AWS EC2 with authentication, checkout, order processing, and inventory management.

  • React
  • Next.js
  • Spring Boot
  • PostgreSQL
  • +3
View Project
InstaBudget — project screenshot
AI-Powered Personal Finance App

InstaBudget

AI-powered budgeting app that logs expenses from photographed receipts and voice notes.

Built · Co-built a multi-modal expense tracker where transactions can be added by photographing a receipt, recording a voice note, or entering manually, with AI extracting merchant, items, amount, date, and category automatically.

  • Next.js
  • React
  • TypeScript
  • Supabase
  • +2
View Project
Urban Sound Classification — project screenshot
Acoustic Anomaly Detection Research

Urban Sound Classification

Compared machine learning approaches for detecting emergency sounds like sirens and car horns in urban audio.

Built · Co-developed and compared two audio classification pipelines — a traditional ML model on hand-engineered MFCC features and a CNN on mel-spectrograms — to detect sirens and car horns in the UrbanSound8K dataset.

  • Python
  • librosa
  • soundata
  • scikit-learn
  • +3
View Project
Paper trail

Resume

Last updated July 2026

Say hello

Contact

I am seeking software engineering opportunities. The best way to reach me is by email or LinkedIn.

Santa Clara, CA
[email protected]
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