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Sudharsan User

@sudharsanuser3

AI/ML engineer at RMIT building grounded LLM and RAG systems, including a contract auditor with 95.8% evaluation accuracy.

Australia

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What I'm looking for

I’m seeking an AI/ML or AI Engineering internship in Melbourne, focused on LLM applications and RAG systems.

At RMIT, I’m building applied AI systems around LLM applications, RAG, and agentic tool use. In my Legal Contract Auditor project, I built a pipeline that returns structured risk reports with verbatim evidence and page references; its evaluation harness scored 95.8% accuracy.

For LeadForge, I built a self-hosted n8n lead-enrichment pipeline with evidence checks, structured Gemini outputs, and configurable industry targeting. I also built and deployed Healthify, a React and Express.js wellness platform that uses RAG to answer mental-health questions.

On the PRIMORDIA mixed-reality project, I was the sole developer of the creature AI, creating a shared finite-state machine for six species and implementing perception and pack coordination. I’m pursuing a Master of Artificial Intelligence at RMIT and have built machine-learning prediction systems during internships at Techvolt, Internpe, and Ascentz Technologies.

Experience

Work history, roles, and key accomplishments

AIML Intern

Techvolt

Jun 2024 - Jul 2024 (1 month)

Built a car-price prediction system on a company-provided dataset, engineering string fields into integer and binary encodings and applying StandardScaler. Compared Linear Regression against Random Forest regressor in Python and scikit-learn, evaluating with R².

Python scikit learn Linear Regression Random Forest Feature Engineering StandardScaler Model Evaluation

AIML Intern

Internpe

Feb 2024 - Mar 2024 (1 month)

Built an election poll by collecting a primary dataset from 100 respondents and comparing Linear Regression against a Decision Tree classifier. Also built a diabetes prediction system with a Support Vector Machine on a company-provided dataset, scored with classification accuracy.

Python scikit learn Linear Regression Decision Trees SVM Data Collection Classification

AIML Trainee

Ascentz Technologies

May 2023 - Jun 2023 (1 month)

Built a heart-disease prediction system using Linear Regression on a Kaggle dataset, as first hands-on machine-learning training in Python.

Python Linear Regression Machine Learning Kaggle

Education

Degrees, certifications, and relevant coursework

RMIT University

Master of Artificial Intelligence, Artificial Intelligence

Pursuing a Master of Artificial Intelligence, focusing on applied LLM and systems-level AI including RAG pipelines, agentic tool-use, and real-time game AI.