About me

I build scalable software solutions, optimize machine learning models, and develop AI-driven applications. With experience at Toyota Material Handling, Merck, and Battelle, I've worked on automation, cloud infrastructure, and NLP research. My projects span full-stack web apps, system-level tools, and AI-powered assistants. Passionate about innovation and efficiency, I'm seeking full-time software engineering roles to drive impactful solutions.

Let's connect!

What i'm doing

  • Web development icon

    Backend development

    Proficient in API and Backend Development.

  • frontend icon

    Frontend and Web Design

    Solid understanding of Frontends with demonstrated knowledge in React.js.

  • cloud icon

    Cloud Technologies

    Experience working with cloud technologies like AWS and Azure.

  • camera icon

    Lifting

    Love lifting and working out in my free time.

Testimonials

  • Ujjwal Garg
    Lead Data Scientist, Discover

    Ujjwal Garg

    I had the pleasure of managing Aryan during Purdue University's The Data Mine corporate project with Battelle. He stood out with his exceptional ability to learn quickly, mastering complex technologies in a short time. His leadership skills were evident as he successfully led our subteam, efficiently coordinating tasks, managing schedules, and delivering engaging presentations. Aryan fostered a collaborative environment, ensuring active participation and thoughtful peer feedback. A meticulous planner, strong leader, and dedicated team player, he consistently exceeded expectations. I highly recommend Aryan—any team would be fortunate to have him.

  • Dr. Hubert Dunsmore
    Associate Professor of Computer Science, Purdue University

    Dr. Hubert Dunsmore

    I have had the privilege of knowing Aryan since January 2022, first as a student in my CS 18000: Object-Oriented Programming with Java course, and later in CS 40700: Software Engineering Project. Additionally, Aryan has served as an undergraduate teaching assistant for CS 18000 since Fall 2022, where he has consistently demonstrated exceptional teaching abilities and a strong commitment to academic excellence. I have been consistently impressed by Aryan's skills, perseverance, and dedication to learning. I am confident that he will be a valuable addition to your program and contribute meaningfully to the academic community.

  • Sumit Bera
    Solutions Architect, Toyota Material Handling

    Sumit Bera

    I was Aryan's manager during his internship at Toyota Material Handling, and I am extremely impressed with his commitment to learning and excellence. He quickly grasped the company's existing technologies and codebase, making meaningful contributions from the very start. A sincere, meticulous, and down-to-earth professional, Aryan would be an excellent addition to any team.

Companies

Resume

Education

  1. Purdue University

    2022 — 2025

    B.S. in Computer Science, Dean's List and Semester Honors
    GPA: 3.60

Experience

  1. Software Engineer Intern

    Toyota Material Handling - Columbus, IN

    May 2024 — Aug 2024

    - Built a Python microservice + Power Automate workflow to auto-scrape forklift specs, saving 7+ analyst hours/week and speeding comparisons by 40%
    - Developed an OCR/NLP pipeline (Azure Document Intelligence + Azure Functions) digitizing 1k+ SOW pages/week and saving $500k/yr in contract-review labor
    - Optimized GraphQL batches and Palantir Foundry dataflows, cutting marketing-ad refresh latency from 2h to 15 min while cutting compute spend by 55%
    - Built an end-to-end Azure DevOps CI/CD pipeline hitting 99.9% deploy success

  2. Software Development Apprentice

    Merck - Remote

    Aug 2023 — Dec 2023

    - Deployed a Python package that automatically converts Material Safety Data Sheets into UN-GHS-compliant cover sheets, eliminating manual rework
    - Cut parsing time from 40 min to 2 min, saving ~5,000 scientist hours/year through end-to-end automation and PostgreSQL-backed data flows
    - Project involved cross-geographical collaboration with 7 members

  3. ML Research Apprentice

    Battelle - Remote

    Aug 2022 — May 2023

    - The project focused on improving the performance of ML models that produce knowledge graphs on drug-related health records to aid research by health professionals.
    - Used BERT transformer model to perform Information Extraction tasks, including Named Entity Recognition and Relation Extraction from a Harvard Medical School dataset focused on Adverse Drug Events.
    - Fine-tuned a bioBERT model for Named Entity Recognition using hyper parameter optimization techniques like Hyperband and Population-based training, leading to significant training result improvements of 5%

Blog

Contact

Contact Form