I'm Diya Chaudhari, undergradute student at Arizona State Unviersity, I'm currently majoring in Computer Science and pursuing a Minor in Business.

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Experience



  1. Support Engineering Intern (Dropbox)

    • Developed full-featured Dropbox sample apps using Python (Flask) and JavaScript (React + Vite), integrating OAuth authentication, file management, and team collaboration features. Public repository
    • Engineered an internal LLM-powered code generator with a robust Retrieval-Augmented Generation (RAG) pipeline that scrapes Dropbox SDK docs and leverages example apps to deliver precise, context-aware SDK code.
    • Built reusable tools and developer resources that streamlined integration workflows, significantly reducing external API support tickets.
    • Empowered Developer Advocates with enhanced internal tooling, accelerating support resolution and improving developer experience.
  2. FSETC Shift Lead (ASU)

    • Assist in delivering course content by supporting professors during lectures and lab sessions.
    • Held office hours to help students with problem-solving, course material comprehension, and project completion.
    • Collaborate with faculty to develop and implement instructional materials that enhanced student learning.
    • Facilitate group discussions and provided one-on-one support to ensure students' understanding of complex mathematical concepts.
  3. Instructional Aide & Grader (ASU)

    • Assist in delivering course content by supporting professors during lectures and lab sessions.
    • Held office hours to help students with problem-solving, course material comprehension, and project completion.
    • Collaborate with faculty to develop and implement instructional materials that enhanced student learning.
    • Facilitate group discussions and provided one-on-one support to ensure students' understanding of complex mathematical concepts.
  4. Software Engineering Fellow (Headstarter AI)

    • Built AI apps using NextJS, OpenAl, Pinecone, StripeAPI with 98% accuracy as seen by 1000 users.
    • Developed projects from design to deployment leading 2+ engineering fellows using MVC design patterns.
    • Collaborated with a diverse team to implement cutting-edge technologies in real-world applications.


  5. E2 Registration and Recruitment Assistant (ASU)

    • Support the program registration process for E2 by guiding participants through registration forms, ensuring accuracy, and troubleshooting any issues.
    • Design social media posts and templates for E2 branding and events using Canva.
    • Maintain organized and accurate records of program registrations, participant contact information, and other relevant data.
    • Generate regular reports on program registration metrics and participant engagement to assess the success of registration and recruitment efforts.


Skills


I'm still exploring and learning new technologies in the programming world.

  • Soft-Skills

    Communication

    Teamwork

    Leadership

    Problem-solving

    Work ethic

  • Programming

    Python

    Java

    HTML/CSS

    JavaScript

    TypeScript

  • Framework & Database

    Nextjs

    MongoDB

    Firebase

Projects

Immersive.AI

Immersive.AI


Immersive creates and animates custom interactive stories, letting you shape your experience by choosing a genre, uploading your own visuals, and even providing a storyline if you have one. In just minutes, you get a fully immersive and engaging story to play through—think of it as the Netflix for interactive storytelling!.

Team Members: Keval, Dhravya
  • Nextjs, TypeScript, Tailwind CSS
ORBIT

ORBIT


ORBIT is an AI-powered travel planning tool, designed to efficiently generate personalized itineraries based on user inputs like destination, budget, and travel days. Targeted at frequent travelers and budget-conscious users, it integrates Google authentication, FlightLabs, and Gemini AI to provide real-time travel data, ensuring seamless trip planning. Built using FastAPI, it streamlines the planning process, making it ideal for users seeking both convenience and cost-effectiveness.

Team Members: Anay, Chakshu, Rishith
  • Nextjs, TypeScript, Tailwind CSS, Node.js, FlightLabs API , Gemini AI API, Vercel
AeroDocs

AeroDocs


AeroDocs is a streamlined knowledge base data management system for Honeywell, utilizing a retrieval-augmented generation (RAG) pipeline to enable efficient vector search. This system incorporates a robust search feature, leveraging barcode scanning, part numbers, and image recognition through LLaVA and YOLO v8 models. Additionally, it facilitates the seamless upload and retrieval of critical documents, such as maintenance logs, technical manuals, and failure reports, to improve troubleshooting and repair workflows.

Team Members: Anay, Chakshu, Rishith, Bhoomi
  • Next.js, TypeScript, Python, NodeJs, Machine Learning

PromptME


PromptME is a dynamic platform designed for the modern world, enabling users to discover, create, and share real-life experiences. Whether it’s navigating major life decisions, exploring new opportunities, or overcoming challenges, PromptME empowers individuals to learn from others’ experiences and make informed choices. By fostering a community-driven space for storytelling and advice, the platform helps users connect, gain insights, and support one another in making the right decisions based on real-world scenarios.

  • Nextjs, JavaScript, HTML/CSS, MongoDB, Vercel, Google Cloud Console
Inventory Management

Inventory Management


Developed a comprehensive inventory management web application that allows shop owners to track inventory levels across multiple store locations in real time. It integrates advanced AI algorithms to analyze sales data and provide actionable suggestions on which items to stock more heavily to maximize profits. The intuitive user interface ensures ease of use, while the real-time database management through Firebase guarantees up-to-date inventory tracking and reporting.

  • JavaScript, Tailwind CSS, Gemini AI API, Firebase
All Seeing Boots

All Seeing Boots


Designed and developed smart shoes for the visually impaired** using Raspberry Pi and Python, enabling real-time obstacle detection and surface safety assessment. The system utilizes ultrasonic sensors to detect nearby objects and vibrations to alert the user, enhancing mobility and independence. Seamlessly integrated **hardware and software components** to ensure a smooth, responsive experience, making navigation safer and more accessible for visually impaired individuals.

Team Members: Ricardo, Kyle, Mackenzie
  • Raspberry Pi, Python

About Me

You'll prolly find me watching movies, or playing Badminton in my free time. I love learning new things and experimenting with different technologies.

    2022

    Started my journey in Coding and Secured 83rd rank out of 9000 participants all over India in my first HPE CodeWars coding competition

    2023

    Started my College Journey and build my first Project in Coding with my teammates

    2024

    Build my Portfolio Website and started as Software Engineering Fellow at Headstarter AI

    2024

    Participated in SunHacks 2024 and successfully developed and deployed ORBIT with my fellow teammates within 24 hours

    2024

    Also participated in DevilsInvent Hackathon organized by Honeywell where we built AeroDocs

    2025

    🎉 Joined Dropbox! What started as a casual visit to Adelante event turned into a life-changing moment—I’m thrilled to be joining Dropbox this summer as a Support Engineering Intern!

    2025

    Built Immersive.AI at DevHacks! A platform for creating and playing interactive, animated stories. Excited about the innovation we brought to storytelling!

Personal Achievements

83rd

Rank all over India in HPE CodeWars competition

2nd

Rank in International Olympiad of Mathematics at the school level

Exploring the Tech World!