Divij Singh Thakur
Computer Science Student & Developer
Building innovative solutions with modern technology.
About Me
I'm a Computer Science student at Arizona State University, passionate about building innovative applications and leveraging emerging technologies. With experience ranging from cloud computing and AI development to immersive software engineering, I enjoy creating impactful solutions while helping others succeed.
Currently, I'm working as a Capstone Software Engineering Intern on NASA's Psyche Mission, where I'm developing real-time control scripts and optimizing 3D immersive experiences for 10,000+ K–12 visitors. I also serve as a Teaching Assistant for CIS 194: Cloud Foundations, guiding over 1,000 students through AWS best practices and cloud-native architecture.
Previously, I've interned at NXPRO, where I designed and deployed full-stack web solutions and AI monitoring tools, and at the Semi-Conductor Laboratory in India, where I contributed to automation and statistical analysis for semiconductor testing.
Education
B.S. in Computer Science, Arizona State University
Expected Graduation: May 2026
Dean's List, NAU Scholar, Outstanding Leadership Award
Leadership
President, Connecting International Communities
Leading a student organization of 750+ members
Campus Partner at Perplexity
Promoting AI-powered research tools and leading community outreach
Student Ambassador at Adobe
Representing Adobe Creative Cloud through workshops and design initiatives
Work Experience
September 2025 - Present | Tempe, Arizona
- Building an immersive NASA Psyche 3D show in Digital Sky Dark Matter; authoring real-time control scripts and a Python content pipeline with Git/CI to improve performance by 30,000+ DCM-14 actions; packaging for NASA MHFA distribution.
- Collaborating cross-functionally with graphic design students and theater docents to turn mission science into accessible UX; contributing to sprint planning, and applying accessibility standards, code reviews, and test automation to ensure reliability and maintainability.
- Optimizing complex 3D scenes to improve scalability, reduce load times, and validate performance across multi-projector theater hardware.
May 2025 – Present | San Jose, California
- Designed and developed full‑stack web and e-commerce applications using Java, Spring Boot, Angular, HTML, CSS, and JavaScript, implementing RESTful APIs to enable seamless data exchange between front‑end and back‑end systems.
- Built and customized WordPress/PHP/MySQL solutions and integrated third‑party APIs (such as payment gateways and social media platforms) to enhance application functionality and support ecommerce workflows.
- Developed and optimized SQL queries to improve application performance and data retrieval speed, resulting in more responsive user experiences and faster reporting.
- Implemented machine learning algorithms for predictive analytics (New York Taxi trip duration, Netflix movie recommendation, Pima Indians Diabetes analysis) using Python, Pandas, and scikit‑learn to preprocess, clean, and analyze large datasets and derive actionable insights.
- Conducted A/B testing, statistical analysis, and exploratory data analysis/visualization on marketing and customer behavior data, driving a 20% increase in conversion rates and a 10% increase in customer satisfaction, while collaborating with QA and cross‑functional teams in Agile ceremonies (stand‑ups, sprint planning, retrospectives).
March 2023 - Present | Tempe, Arizona
- Delivered instructional support for CIS 194 by facilitating review sessions to help students prepare for the AWS Certified Cloud Practitioner exam.
- Collaborated with faculty to improve student engagement and track learning outcomes; leveraged Salesforce CRM to assist the research team in analyzing participant success metrics and program feedback.
January 2024 - March 2025 | Tempe, Arizona
- Provided technical and logistical support to over 3,000 students and faculty by coordinating space scheduling, delivering services, and maintaining class infrastructure.
- Designed and implemented the SILC Cataloging Bot, reducing cataloging time by 50% and minimizing errors in Library resource processing.
June 2023 - July 2023 | Punjab, India
- Conducted statistical analysis on datasets with over 100,000 entries using JMP software, identifying trends and anomalies to support yield improvement efforts in semiconductor fabrication.
- Collaborated on a Java-based automation tool that streamlined data sorting for semiconductor testing logs, reducing processing time by 20% and improving data pipeline efficiency.
Top Projects
CUDA-Coach – AI Tutor for CUDA & Parallel Computing
React, TypeScript, Flask, Python, Hugging Face
June 2025 | Tempe, Arizona
- Developed an AI-powered tutoring platform to simplify CUDA learning and GPU-accelerated workflows, leveraging quantized Mixture-of-Experts models (BitsAndBytes 4-bit).
- Implemented real-time CUDA syntax guidance, secure authentication, and GPU-backed caching via Hugging Face Hub.
- Built an integration-ready system for university courses/bootcamps, with React/TypeScript front-end and Flask-based backend.
Bloom – AR Emotion Recognition
JavaScript, Node.js, OpenAI API, Socket.IO, MediaPipe
April 2025 | Tempe, Arizona
- Developed an interactive web application that detects real-time user emotions using facial landmark tracking, enabling dynamic AR visualizations that reflect emotional states.
- Engineered a contextual AI journaling and chatbot system using OpenAI's API, integrated with a gamified wellness tracker featuring streak-based digital garden growth to deliver personalized mental health support and encourage daily emotional check-ins.
EmberWatch – AI-Powered Wildfire Detection
Python, Flask, HTML, CSS, JavaScript, PyTorch, TensorFlow
February 2025 | Tempe, Arizona
- Developed a CNN-based image classifier using PyTorch and TensorFlow, achieving high-accuracy wildfire detection across real-world datasets.
- Deployed a Flask-based web application enabling real-time image uploads and automatic fire/no-fire classification.
- Evaluated the feasibility of integrating satellite and drone imagery, outlining a pipeline for large-scale deployment and real-time alerts.
Sun Devil Book Exchange
JavaFX, Java, FILE I/O
August 2024 – December 2024 | Tempe, Arizona
- Designed and built a full-stack JavaFX application that allowed students to list, filter, and purchase textbooks via intuitive UI components.
- Implemented auto-pricing logic using file I/O to dynamically suggest competitive prices based on prior listing trends and book condition.
- Added buyer and seller account features, increasing engagement, and successfully demoed to a class of 50+ students with positive feedback.
TextWise – AI-Powered SMS Learning Platform
Python, Flask, HTML, CSS, JavaScript
October 2024 | Tempe, Arizona
- Engineered an SMS learning assistant, enabling personalized content delivery via text for low-connectivity users.
- Built and optimized the backend using Python and Flask, reducing API response time by 30% while integrating Twilio for SMS delivery and OpenAI for personalized content.
Prodbot – OpenAI Hackathon Project
Natural Language Processing, Prompt Engineering
September 2024 | Tempe, Arizona
- Built an AI-powered bot that parsed 100+ ICS files to automate class schedule management for Canvas users, saving ~2 hours/week per user.
- Implemented NLP-driven prompts and reminders to enhance productivity and reduce cognitive load during peak academic periods.
- Recognized in the top 10% of OpenAI Hackathon submissions for technical innovation, UX design, and real-world applicability.
Technical Skills
Programming Languages & Frameworks
Web Technologies
Operating Systems
Data Science & ML Libraries
DevOps & Development Tools
Design and Modeling Tools
Resume
Here you can download my full resume to learn more about my experience, education, and skills.
Contact Me
Get In Touch
Feel free to reach out to me for collaborations, opportunities, or just to say hello!