Mudit Arora — AI Researcher
I'm a passionate AI/ML Engineer and researcher with hands-on experience in Machine Learning (ML), Deep Learning (DL), Data Science (DS), Natural Language Processing (NLP), Large Language Models (LLM), Prompt Engineering, Fine-Tuning, AI Agents, and Generative AI (GenAI). As a recent MS Graduate in Artificial Intelligence from UC Santa Cruz, Magna Cum Laude holder from Arizona State University with a BS in Computer Science, I specialize in building intelligent systems that solve real problems - from conversational AI agents to AI automation workflows. During each of my roles, I have always acquired new skills and further excelled in them. During my time at Uniphore, I learned how to generate a high-quality synthetic dataset, fine-tuning models using Supervised Fine-Tuning (SFT) as well as using Reinforcement Learning (RL) in the pipeline. Similarly, at Mayo Clinic, I got my hands on Google's T5 by using NLP methods for extracting social determinants of health from unstructured clinical notes to predict patient readmission. Previously at CRED as an AI Software Engineer Intern, I built AI agents for fixing bugs and automation, leveraging LLMs for intelligent preprocessing and real-time data processing. Additionally, I wrote extensive SQL queries and assimilated agile methodology during my time at Knight Transportation as a Software Quality Assurance Intern. Finally, I'm also experienced in teaching (Graduate/Undergraduate TA in computational methods and programming) and leadership (Vice President, Google Developer Student Club). My main technical expertise are: Python, PyTorch, TensorFlow, scikit-learn, Keras, MLX, NLTK, spaCy, OpenCV, LangChain, AutoGen, Hugging Face, Ollama, Make.com, AWS (S3), GCP, Azure, Git/GitHub, Docker, Postman, Pandas, NumPy, Matplotlib, Seaborn, Plotly, SQL, R, JavaScript, TypeScript, C++, Swift, SwiftUI, UIKit, React.js, Node.js, Next.js, Django, Flask, HTML/CSS. I'm enthusiastically embracing any programming language, framework, or principles that will help me and my team to be successful.
Stackforce AI infers this person is a skilled AI/ML Engineer with a focus on healthcare and fintech applications.
Location: San Francisco, California, United States
Experience: 3 yrs
Skills
- Deep Learning
- Natural Language Processing (nlp)
- Teaching
- Ai Agents
- Artificial Intelligence (ai)
- Machine Learning
- Leadership
Career Highlights
- Achieved 87% accuracy in health data extraction.
- Generated 500+ synthetic conversations for AI agents.
- Boosted student comprehension by 20% as a TA.
Work Experience
EzMedTech.AI
AI Engineer (1 mo)
Baskin Engineering at UCSC
Computer Science Grader (2 mos)
Career transition (3 mos)
Graduate Teaching Assistant (2 mos)
Statistics Grader (2 mos)
Uniphore
Deep Learning Researcher (9 mos)
CRED
AI Software Engineer Intern (4 mos)
UC Santa Cruz Natural Language Processing Master's Program
Social Media Assistant (3 mos)
Mayo Clinic
Machine Learning Researcher (8 mos)
Google Developer Student Club at Arizona State University
Vice President (1 yr 4 mos)
Core Team Member (10 mos)
Member (10 mos)
Knight Transportation
Software Quality Assurance Intern (3 mos)
Arizona State University
Subject Area Tutor (2 yrs 3 mos)
UniRely - College Counseling
Student Mentor (5 mos)
Ira A. Fulton Schools of Engineering at Arizona State University
Undergraduate Teaching Assistant (8 mos)
ASU Esports Association
Member (11 mos)
Education
Master of Science - MS at University of California, Santa Cruz
Bachelor of Science - BS at Arizona State University
High School Diploma at Kulachi Hansraj Model School
at CodePath
