Summary
Yogesh Gurjar is a Data Scientist II at Blue Yonder with 10 years of experience building production ML systems and a Master’s in Computer Science from UT Arlington. He blends academic rigor—co-authoring an ACL 2024 paper and developing state-of-the-art Frame Semantic Parsing models—with practical engineering, having optimized recommendation and audience-profiling pipelines that materially improved CPC/CPM and conversion metrics. His background spans large-scale data processing on Spark/GCP, efficient LLM fine-tuning (LLAMA 7B with PEFT on commodity GPUs), and low-latency retrieval using Faiss and multi-GPU scaling. Yogesh has repeatedly turned research into impact, from parity-performing generative Flan-T5 models to a BM25-plus-embedding recommendation that lifted clicks and purchases. Based in Arlington, TX, he’s comfortable moving between model research, scalable deployment, and system architecture to shave costs and latency while boosting business outcomes.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at The University of Texas at Arlington
Engineer’s Degree, Computer Science, 7.5, Engineer’s Degree, Computer Science, 7.5 at Jabalpur Engineering College
Hindi, English