Software Engineer & AI/ML Enthusiast

    Engineering
    intelligent
    solutions.

    I'm Aditya Jain, a Computer Science student at the University of California, Irvine. I'm passionate about building scalable systems and exploring the frontiers of AI and Machine Learning.

    Selected Work

    A curated collection of projects showcasing my approach to building impactful software.

    Research

    Exploring the intersection of technology and theory through dedicated research.

    Experience

    A chronological journey through my professional and academic background.

    Radiology Imaging Lab

    Undergraduate Student Researcher

    • Implemented iterative reconstruction algorithms (SIRT, ART, CGLS) for CT imaging to improve image quality and reduce radiation dose.
    • Applied deep learning methods to CT datasets to enhance early-stage detection of coronary artery disease.
    • Validated reconstruction techniques on clinical imaging data, demonstrating improved signal-to-noise ratio.

    Nov 2025 – Present

    Donald Bren School of ICS

    Learning Assistant — ICS 31

    • Supported 300+ students during live Intro to Programming lectures by clarifying key concepts, debugging code and resolving technical errors in real time.
    • Worked directly with the TA team to support student understanding, improve engagement, and provide hands-on help with foundational concepts.

    Nov 2025 – Present

    Swif.ai (YC S20)

    Software Development Intern

    • Built a one-click provisioning tool using LLMs to automate enterprise access management, improving provisioning speed by 200%.
    • Developed a cross-platform script editor using Vue.js and Quasar with syntax highlighting and OpenAI-powered code completion.
    • Implemented security dashboards with Wazuh, delivering end-to-end solutions from backend pipelines to Vue.js frontend.

    Jun 2025 – Sep 2025

    Bits to Atoms (YC S24)

    Software Development Intern

    • Implemented a Selenium-driven web crawler to scan targeted platforms, professional networks, and job boards, automating talent discovery.
    • Processed, parsed, and analyzed candidate datasets using custom algorithms to generate data-rich profiles.

    Apr 2025 – Jun 2025

    The Net VR

    Software Engineer Intern

    • Enhanced backend performance through FastAPI, Redis, and Celery integration, improving data throughput by 30%.
    • Developed the email validator front-end with Tailwind and Alpine.js, leading to a 25% rise in user satisfaction.

    Nov 2024 – Jan 2025

    Let's connect and
    build the future
    together.