Joseph Oh

Jr. Java Developer at Capgemini

New York City Metropolitan Area

About

Full-stack engineer building scalable systems with Java/Spring Boot, React/TypeScript, and AWS/GCP. I've deployed production applications that integrate AI APIs, optimized database performance by 70%, and architected distributed systems serving real users. Passionate about leveraging technology to solve complex problems—from AI-powered features to high-performance backend systems. My sweet spot is working on projects where clean architecture, performance optimization, and user impact intersect. Excited to work with teams building cutting-edge products in AI infrastructure, fintech, healthcare tech, or developer tools—anywhere complex engineering challenges meet real user impact. Recent grad with hands-on production experience, looking for a team where I can contribute from day one and grow alongside experienced mentors. Open to relocation. github.com/Joseph-Oh123

Experience

  • Jr. Java Developer at Capgemini
    Feb 2026 - Present · 5 mos

  • Prompt Engineer at DataAnnotation
    Jul 2024 - May 2025 · 11 mos

    Analyzed and reviewed code in multiple languages (Java, Python, JavaScript) generated by large language models, providing critical feedback to enhance AI problem-solving capabilities on complex codebases Assessed thousands of AI-generated responses against quality benchmarks and safety standards, developing expertise in identifying edge cases, architectural flaws, and subtle bugs that improved model training Gained deep understanding of AI capabilities and limitations through systematic evaluation, strengthening skills in code review, debugging, and assessing software quality—directly applicable to building and integrating AI-powered features Collaborated with cross-functional teams to refine evaluation criteria and improve data quality, demonstrating ability to work in distributed, remote-first environments

  • Information Technology Intern at CBIZ Marks Paneth
    Mar 2023 - Aug 2023 · 6 mos

    Contributed to enterprise cloud migration project, transitioning critical accounting firm data from physical storage to Microsoft Azure cloud platforms, enhancing data accessibility and scalability for 500+ employees Optimized Python web scraping scripts that automated data collection from government portals, reducing manual data entry time and streamlining client information delivery Provided technical support across the organization, troubleshooting software issues, managing user access, and documenting solutions—developing strong communication skills for explaining technical concepts to non-technical stakeholders