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 AI/ML and analyst roles to drive impactful solutions.

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Skills

  • Programming languages icon

    Languages

    Java, Python, JavaScript, TypeScript, C, C++, Bash scripting

  • Frameworks icon

    Frameworks and technologies

    Node.js, React.js, LLMs, LangChain, Retrieval Augmented Generation, PostgreSQL

  • Tools icon

    Tools

    Git, Linux, Docker, Kubernetes, Kafka, Agile, Confluence, AWS, Azure

  • Cloud computing icon

    Data/Business Analysis

    Python (Pandas, Matplotlib), SQL (PostgreSQL, MS SQL Server), Power Automate, Data Visualization (Palantir Foundry, Power BI)

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.

Daniel lewis
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Ujjwal Garg

I managed Aryan directly as part of the Purdue University's The Data Mine corporate project with Battelle for an academic year. Aryan is an exceptional student who possesses a unique blend of talents that make him stand out in any team. One of Aryan's most remarkable qualities is his ability to embark on a rapid learning curve. He demonstrated a knack for mastering intricate concepts and technologies within a short timeframe. This quality not only made him an invaluable asset to our team but also consistently delivered results beyond expectations. Furthermore, I entrusted Aryan with the leadership of my subteam, a responsibility he embraced with skill and finesse. He adeptly coordinated tasks, managed schedules, and delivered presentations that were not only informative but also engaging and persuasive. He fostered a collaborative environment, ensuring active participation from all team members and effectively acknowledging peer feedback. Aryan is not only a brilliant individual contributor but also a team player who elevates the performance of the entire group. In short, Aryan is an outstanding professional who possesses an exceptional ability to learn quickly, lead effectively, plan meticulously, and collaborate seamlessly. He consistently exceeded expectations during his time at The Data Mine and would be an asset to any team or organization fortunate enough to have him on board. I wholeheartedly recommend Aryan for any endeavor he choose to pursue in the future.

Companies

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Education

  1. Purdue University

    2022 — 2025

    B.S. in Computer Science, Dean's List and Semester Honors
    GPA: 3.61

Experience

  1. IT Enterprise Architect Intern

    Toyota Material Handling - Columbus, IN

    May 2024 — Aug 2024

    - Applied Toyota Production System (TPS) principles and conducted Gemba walks on the assembly floor to capture requirements for building a forklift specifications scraper
    - Developed a SQL + Power Automate + Azure workflow to automate forklift spec tracking of competitors, saving analyst hours each week and improving comparison speed by 40%
    - Defined KPIs and built an AI-driven NLP document processing solution using Azure to parse 100+ SOWs per week, saving $500k annually in contract review labor
    - Optimized GraphQL queries and Palantir Foundry dataflows, reducing marketing ad analytics refresh latency from 2 hours to 10 minutes and cutting compute spend by 55%

  2. Software Development Apprentice

    Merck - Remote

    Aug 2023 — Dec 2023

    - Gathered requirements on Safety Data Sheet (SDS) analysis challenges, defined KPIs for an MVP, and created an Agile development plan on Confluence
    - Collaborated with a 7-member team to design and implement a Python package that automated parsing of SDS files into UN-GHS compliant cover sheets
    - Delivered the automation solution that saved ~5,000 scientist hours annually, eliminating manual data analysis and enabling faster compliance reporting

  3. Data Science Research Apprentice

    Battelle - Remote

    Aug 2022 — May 2023

    - Performed exploratory data analysis on adverse drug event (ADE) datasets in Python (Pandas), creating quality checks and visualizations that highlighted labeling gaps and guided modeling priorities
    - Built NLP pipelines and optimized BERT transformer models (learning rate, batch size, sequence length, class weights, scheduler), improving F1-score by ~10% over baseline
    - Authored reports and stakeholder presentations translating precision, recall, and F1 results into actionable recommendations for pharmacovigilance workflows

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