Hello, I'm Yash Khurana
Currently Learning
Fine-Tuning & AI Model Optimization
Working On
Smart ERP Platform for Wholesale Clothing Businesses
Focused On
DSA & AI/ML
About Me
I’m Yash Khurana, a Computer Science Engineering student passionate about building intelligent and impactful digital solutions. My interests span across Full Stack Development, Data Science, and AI/ML, where I enjoy combining software engineering with analytics and artificial intelligence.
I build scalable web applications using Django, JavaScript, MySQL, and REST APIs, create interactive dashboards and data-driven insights using Power BI and Python, and continuously explore AI systems, model training, and intelligent automation.
Technical Skills
AI & Machine Learning
Data Science & Analytics
Full Stack Development
Programming Languages
Database & Backend
Tools & Problem Solving
LeetCode Progress
@yashkhuranaProjects
Royal Barber – Salon Booking Platform
A salon booking platform with online appointments, secure authentication, Razorpay payments, and Gemini AI chatbot integration.
Smart Parking Management System
A smart parking system built using Python and DSA to optimize parking slot allocation, vehicle tracking, and dynamic parking management efficiently.
Crime Data Analytics Dashboard
An excel dashboard for analyzing crime trends, dangerous areas, weapon usage, and victim demographics through interactive visualizations.
Real-Time Stock Market Dashboard
An interactive dashboard built using Power BI and Python for real-time stock analysis, KPI tracking, and market trend visualization.
Experience
AI Contributor / LLM Evaluator
@ Outlier AI
Nov 2024 - Apr 2025
- Designed and evaluated advanced prompts to assess reasoning, accuracy, and response quality of Large Language Models (LLMs) across diverse real-world scenarios and edge cases
- Analyzed AI-generated outputs to identify logical inconsistencies, hallucinations, and model failure patterns while providing corrected responses and structured feedback
- Developed evaluation rubrics and validation workflows to improve model reliability, response consistency, and overall performance benchmarking
- Collaborated on AI quality assurance tasks involving prompt optimization, response evaluation, and continuous model refinement processes