Summary
Om Pandey is a Senior Machine Learning Engineer with eight years of industry and academic experience building robust, production-grade ML systems across fintech, finance infrastructure, and research labs. He combines a UT Austin MS and multi‑institution research background (CMU, Purdue, Yonsei) with hands‑on delivery at CRED, DTCC, and Visa—shipping end-to-end pipelines, low-latency models, and backend API integrations that scaled in distributed environments. His work spans deep learning, CV, and NLP, including novel loss functions for 3D medical segmentation and published research, and he has contributed code accepted into official TensorFlow/PyTorch repositories. Notably, he translated research into measurable business impact—saving $10M annually via churn modeling at CRED and lifting CTR by 8% with recommendation systems—while also prototyping quantized LLM deployments and no-code GPT orchestration for sensitive medical data.
9 years of coding experience