Adwaith Madadi

Software Engineer

Crafting Digital Excellence Through Code

About Me

Adwaith Madadi

Building impactful software solutions that drive innovation and deliver real-world results.

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.

3 Major Projects
Two Completed & One Active
5+ Programming Languages
Mastered & Applied
2 Tech Domains
Full-Stack & AI/ML

My biggest strengths are problem solving, picking up new technologies quickly, and building creative solutions that actually work. I enjoy collaborating with others, breaking down complex problems, and always look for ways to make my code clean, efficient, and easy to use. I’m always up for a challenge and love seeing my ideas come to life in real projects.

Key Achievements

  • Architecting a production ready AI interview platform using Next.js, React, and AssemblyAI with real time speech processing that achieves under 8% transcription error, demonstrating full stack expertise from frontend UI to backend API integration and cloud deployment
  • Secured first place in the SCAI Machine Learning Competition by engineering a bidirectional LSTM neural network that outperformed 50+ competing solutions, achieving 98%+ precision, recall, and F1 score in spam detection using TensorFlow, Keras, and PyTorch
  • Conducting machine learning research at UCSC analyzing how LLMs generate statistical distributions, building custom Python frameworks to visualize AI behavior and uncovering critical 20% deviations that impact model reliability and data classification
  • Scaled student performance by 15% as a Python programming tutor, teaching 25+ students advanced debugging techniques, algorithmic thinking, and best coding practices while boosting class engagement by 20%
  • Shipped production code at Partnership HealthPlan of California, optimizing SQL queries, debugging enterprise web applications, and presenting technical solutions to cross functional teams of 20+ engineers and stakeholders

Technical Arsenal

Python C C++ Java JavaScript TypeScript SQL HTML CSS Data Structures & Algorithms OOP

Technologies

React Node.js Next.js PostgreSQL REST APIs OpenAI API Keras AWS Llama Kubernetes Docker Scikit-Learn Angular TensorFlow PyTorch Scrum Agile

Experience

Group Tutor/Reader for CMPM 15

Baskin Engineering at UCSC

Sep 2025 - Present

Mentored and evaluated 20+ students in Human-Centered AI, Resilient Computing, and Generative AI, providing in-depth feedback on 15+ weekly presentations. Led discussions that inspired undergraduate research interest and improved students' clarity in communicating technical ideas.

Reader/Grader for CSE 100 (Logic Design)

Baskin Engineering at UCSC

Sep 2025 - Present

Evaluated 100+ homework assignments and prelabs weekly on Boolean Algebra, FSMs, and Sequential Circuits. Delivered detailed, rubric-based feedback that clarified core design concepts and strengthened students' mastery of digital logic and system-level hardware design.

Undergraduate Machine Learning Researcher

UCSC Neuromorphic Computing Group

Jan 2025 - Present

Researched LLMs' ability to generate statistically valid distributions by analyzing diverse data conditions under varying settings. Built Python frameworks to model and visualize AI-generated distributions, uncovering up to 20% deviation from theoretical fundamentals and revealing how prompt engineering affects data classification and model reliability.

Group Tutor for CSE 20 (Python Programming)

Baskin Engineering at UCSC

Sep 2024 - Dec 2024

Led group sessions of 25+ students, breaking down complex Python programming concepts through practical activities. Provided individualized Python guidance to 20+ students, improving debugging skills and code accuracy that resulted in a 15% average grade increase and boosted class engagement by 20%.

IT WebApps Intern

Partnership HealthPlan of California

Jun 2022 - July 2022

Contributed to SQL database management and internal web applications by debugging code and improving system reliability. Presented project updates and code contributions to 20+ developers and managers, collaborating on implementation decisions and cross-team solutions.

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

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