Asharib Khan

I’m a BSDS student (6th semester) specializing in Data Science & AI Auditing, with hands-on experience building systems that prioritize accuracy and reliability. I enjoy turning complex data tasks into working pipelines and measurable improvements.

In my RAG-based Legal Intelligence System, I designed a Python RAG pipeline using vector databases to query legal documents with high context accuracy. I optimized document chunking and retrieval strategies to significantly reduce model hallucinations in legal citations.

I also build practical machine learning workflows, like a Real Estate Classification Model where I used Pandas for EDA and data preprocessing, then analyzed multi-dimensional datasets to identify key features for property valuation and classification. Beyond ML, I strengthen my engineering fundamentals through object-oriented and algorithmic problem solving.

My project work spans more than AI: I’ve developed 2D interactive and action games using Java OOP and Unity/C# real-time physics, including collision detection, character controllers, and performance-focused game loop optimization. I bring that same engineering discipline to data work and automation.