Darshan
Joshi

I'm a CS engineer at the intersection of AI research and production engineering. Currently a Research Assistant at Lawrence Technological University, I build real-time behavior detection systems with YOLOv8 and PyTorch — from dataset curation and YAML pipeline design through Grad-CAM explainability and deployment.

My technical range spans computer vision (YOLOv8, Grad-CAM, OpenCV), NLP and API engineering (FastAPI, regex pipelines, document generation), deep learning (CNN-LSTM hybrid models for seismic prediction), and cybersecurity (buffer overflow analysis, exploit research, EC-Council certified across 5 domains).

I have 4 published and in-progress research papers spanning enterprise cybersecurity, AI-based behavior detection, earthquake prediction with CNN-LSTM, and NLP-driven document intelligence. I care deeply about model interpretability, responsible AI, and clean modular architecture.