Adwaith Madadi

Hello, I am Adwaith Madadi.

I'm a Computer Engineering major at UC Santa Cruz with a strong interest in software engineering, artificial intelligence, and machine learning. I love building things that make a difference, whether it's web apps, cloud projects, or AI tools. I'm always looking for ways to create software that solves real problems and helps people. My goal is to deliver high-quality, impactful solutions that users love.

Outside of coding, I love competing in ML competitions, digging into AI research, and mentoring fellow students through the craft of programming. When I'm not at my desk, you'll find me exploring new ideas, staying active, or brainstorming the next thing worth building.

Experience

Nutanix

Software Engineer Intern

Jan 2026–Present

Baskin Engineering at UCSC

Group Tutor/Reader

Sep 2024–Present

Partnership HealthPlan of California

IT WebApps Intern

Jun 2022–Jul 2022

Research

Research Interests

  • Speech Language Models Studying how models process and generate human speech, with an interest in enabling more natural and effective human-AI communication.
  • AI Interpretability Exploring techniques to better understand model behavior, with an emphasis on transparency, robustness, and trust in machine learning systems.
  • Large Language Models Investigating the behavior and applications of large language models, including how they can be refined for more reliable real-world use.

Research Labs

  • UCSC Neuromorphic Computing Group Machine Learning Researcher
  • Berkeley Artificial Intelligence Research Machine Learning Researcher

Projects

Jun 2025 – Present

Prepsify

AI-powered mock interview platform with real-time voice and video streaming, delivering adaptive feedback with <8% transcription error.

  • Python Python
  • JavaScript JavaScript
  • Node.js Node.js
  • Next.js Next.js
  • React React
  • Tailwind CSS Tailwind CSS
  • Convex Convex
  • AssemblyAI AssemblyAI
Jan 2024 – Apr 2025

Unify

Dynamic web app store with optimized features for discovery, search, and accessibility in a refined dark-theme interface.

  • HTML HTML
  • CSS CSS
  • JavaScript JavaScript
Jan 2024 – Mar 2024

Spam/Phishing AI Model Winner SCAI Competition

Bidirectional LSTM NLP model for spam and phishing detection, achieving >98% precision, recall, and F1 score.

  • Python Python
  • Keras Keras
  • TensorFlow TensorFlow
  • PyTorch PyTorch
  • Scikit-learn Scikit-learn

Let's Connect and Build What's Next