Machine Learning · Software Engineering
CS student at UNSW majoring in AI. Building practical ML solutions and backend systems.
Based in
Sydney, AU
Studying
CS + AI at UNSW
Current Role
AI Engineer Intern
Interests
ML, SWE, Swimming
UNSW Sydney
AI Engineer Intern
About Me
I'm Yash Mittal, a Computer Science student majoring in Artificial Intelligence at the University of New South Wales.
Currently an AI Engineer Intern at Anthrobyte.ai, where I build internal tools, predictive models, and dashboards. I enjoy working across the full stack; from data pipelines to deployed services.
Outside of work, I enjoy swimming and table tennis.
Tech Stack
Career
My professional experience in software engineering and AI.
AI Engineer Intern
Academic Tutor
Teaching Assistant / Intern
Featured Work
ML pipelines, data systems, and backend services. Projects focused on practical engineering.
3
Price metrics
Web-based pipeline that takes a product name and country as input, scrapes global listings via Serper API, and uses AI guardrails to validate, filter, and normalise noisy price data. Outputs reliable min/median/max prices for pricing decisions.
API
Inference
XGBoost regression model to predict rental yields for investment properties. Includes SHAP explainability for feature importance analysis and a FastAPI inference endpoint for real-time predictions.
Input format
Multi-agent RAG pipeline for automated legal due diligence. Uses LangChain for orchestration and Qdrant for vector storage to extract and summarise key information from PDF contracts.
Live
Webcam input
Real-time computer vision system that classifies rock-paper-scissors hand gestures from webcam input. Built as a complete ML pipeline from data capture to model inference.