Siddharth Yadav

I’m a PhD-trained Senior Computer Vision Scientist focused on end-to-end computer vision pipelines for image/document forensics and healthcare AI—covering data preprocessing, model training, segmentation/detection, explainability, optimization, and deployment. With a bioinformatics background, I bring deep biological context and a strong scientific-computing foundation to medical imaging and cancer detection work.

In my current role, I’ve developed and customized state-of-the-art computer vision models for digital media authentication and image/document forgery detection, building 15+ forensics algorithms from scratch (tamper detection, artifact analysis, and ML-based authenticity verification) and delivering 5x+ benchmark speedups through Numba/Cython/XArray optimizations. Previously as a Senior AI Engineer, I led proprietary breast and oral cancer detection model development, created deep learning detection/segmentation pipelines for in-house clinical datasets, and built explainable AI workflows to support clinical review—while packaging solutions as web-based and locally executable tools tailored to client needs.