Chirag Jindal
MS Computer Science student and Full-Stack Developer
NOWILLBE
Gurugram, Haryana, India
89 connections
Joined February 2026
Summary
Active early-career researcher in AI/ML with peer-reviewed publications on topics such as fraud detection, PDF-querying systems using LLMs, and video-description models. google+2
Full-stack software developer who maintains practical software work alongside research. github
Has experience in applied software roles and research internships across industry and academia, including positions at Dzylo and Yuan-Ze University, indicating practical development and research collaboration skills. rocketreach
Engaged in student and community activities during undergraduate studies and presents a portfolio of extracurricular technical work (YouTube). youtube
Work
Education
Writing
An AI-Driven PDF Query System Leveraging OpenAI LLM and LangChain for Enhanced Data Retrieval
January 1, 2025Paper describing a system that uses OpenAI LLMs and LangChain to enable improved querying and retrieval from PDF documents.
AI Driven Approach for Description of Visual Contents
January 1, 2025Paper proposing a deep-learning-based pipeline combining CNNs and sequence models (RNN/LSTM/attention) for automated video captioning and visual content description.
Improving Credit Card Fraud Detection Through Stacking Ensemble Models and SMOTE-ENN for Imbalanced Datasets
January 1, 2024Research on enhancing credit-card fraud detection using stacking ensemble methods combined with SMOTE-ENN for handling imbalanced datasets.