Ranveer

ML/AI · DESIGN · PRINCETON UNIVERSITY

Hi!
I'm Ranveer

Building better design.

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Selected work

Projects

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Web Development

ProteinArchitect

A web platform for protein architecture analysis and visualization. Explore protein structures, analyze molecular interactions, and visualize complex biological data through an intuitive interface.

ReactTypeScriptPythonWebGLBioinformatics
2025

AI/Healthcare

DentalConnect

An AI-powered diagnostic platform for dental care that makes preventative care and accurate diagnostics more accessible. Patients can upload photos to receive instant visual reports highlighting potential issues like cavities, gingivitis, or discoloration. Built with computer vision models trained on 10,000+ dental images.

PythonReactFastAPIAWSSageMaker
2024

Mobile Development

NutriLens

An innovative iOS app that transforms your fridge into a smart nutrition guide. Users can snap photos of their fridge contents and receive personalized, sustainable recipe recommendations powered by AI.

SwiftXCodeiOSGemini APIComputer Vision
2026

Machine Learning

Bollywood Movie Recommender

A machine learning algorithm built with Python using pandas, numpy, and PyTorch to recommend Bollywood movies based on user preferences. Features an interactive web interface for seamless user experience.

PythonPyTorchPandasNumPyReact
2025

Web Development

SimplyResearch

A Ruby on Rails web application where users can upload PDF files of research papers and generate custom slides, summaries, and infographics in seconds. Features Google OAuth authentication and automated content generation.

Ruby on RailsJavaScriptHTMLSCSSDocker
2024
// ranveer.circt
func buildVirtualMind() void {
  let ptr = allocate(sizeof(NeuralNet));
  train(ptr, dataset);
  // TODO: free(ptr) ← you forgot this
  // ⚠ memory leak at 0x000000
}

About

Hi! I'm Ranveer.

I am an ML/AI researcher and designer at Princeton interested in 3D reconstruction and AI Safety.

I'm currently doing research on hardware compiliers and LLM's for low-resource languages. Reach out if you're interested or just want to chat!

When I'm not coding, you'll find me cooking with my family, playing a board game, or making tech related instagram reels @rsingh.daily.

parsing ranveer.circt...

Based inPrinceton, NJ
StudyingPrinceton University
CurrentlyML/AI systems + interface design
Open toResearch, ML systems, and design engineering roles

Princeton, NJ

Ranveer Singh

I build machine learning systems and the products around them, with a focus on practical intelligence that people can actually use.

RS

Princeton, NJ

Ranveer Singh

I build machine learning systems and the products around them, with a focus on practical intelligence that people can actually use.

Timeline

Experience

  • Deployed 3 critical CI/CD tests within the TigerData storage service, elevating codebase test coverage by 8%.
  • Resolved 4 high-priority bugs within TigerData ensuring functionality and data integrity for 25+ researchers.
  • Collaborated with DevOps to design and implement PostgreSQL schemas, increasing dataset capacity by 15%.
  • Provided direct technical support to 50+ researchers on GPU/CPU utilization, system access, and debugging.
  • Diagnosed critical bugs in Python code and scripts, improving program efficiency for 90% of users.
  • Clarified complex technical concepts to improve user self-sufficiency, reducing repeat inquiries by 20%.
  • Generated 3 Python projects to teach OOP fundamentals to 3,000 students.
  • Collaborated with tutors to standardize GitHub and Markdown best practices, reducing dev overhead by ~150 hours/year.
  • Enhanced online quiz platform with React-based animations to improve engagement and learning.

Writing

Blog

March 14, 2026

AI Slop & Changing the World

My ideas on creating useful AI products and avoiding slop.

Read →

March 1, 2024

The Future of Web Development

A deep dive into emerging technologies and frameworks that are shaping the future of web development and user experiences.

6 min read

February 20, 2024

Optimizing React Performance

Practical techniques and strategies for optimizing React applications, from code splitting to memoization and beyond.

10 min read

Let's build something together

If you are exploring AI interpretability, world models, or interactive design for intelligent tools, I would love to talk.

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