Rishon Jain
Data Scientist
Summary
Research-focused machine learning practitioner: produces research and code on AI-generated text detection (PolyDetect, DetectLLM) combining transformer embeddings, statistical cues, and classical ML. github+2
Hands-on software builder across domains: maintains multiple GitHub projects that implement applied ML and web/streamlit demos (road damage detection, healthcare tooling, on-device skin recommender). github+2
Early-career technologist transitioning from school to internships and university-level projects: background includes Delhi Public School Indirapuram, internship at HCL GUVI, and Bennett University affiliation on research/projects. opentalent
Public communicator and writer on AI topics: maintains a personal blog with long-form posts about AI applications such as quantitative trading. blogspot+1
Work
Education
Projects
Writing
DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text
May 1, 2026Research on using log-rank information for zero-shot detection of machine-generated text.
AI-Powered Quantitative Trading: The Future of Financial Markets
November 1, 2025Blog post discussing how AI is transforming quantitative trading, its mechanisms, and future advancements.
rishonjain.blogspot.comPolyDetect: A Hybrid Multilingual Machine-Generated Text Detection System Under Low-Resource GPU Constraints
Paper describing PolyDetect, a multilingual AI-generated text detector designed for low-resource GPU environments combining transformer embeddings, perplexity, lexical features, and classical ML classifiers.