Summary
Divyanshu Goyal is an applied scientist and senior machine learning engineer with over a decade of software experience and 7+ years focused on designing and shipping scalable AI/ML and generative-AI products. At Adobe he has led LLM-as-a-Service platforms, fine-tuned domain-specific models for branded content, and built high-performance inference systems used across 100+ teams, blending deep ML research (transformers, LoRA, diffusion) with production systems engineering. He has a strong systems background from earlier roles building ML platforms, ETL pipelines, and low-latency model serving at tens of thousands QPS, enabling him to bridge model development and large-scale deployment. Based in Sunnyvale, he pairs a Georgia Tech MS and quantitative training with hands-on expertise in PyTorch, LangChain, and distributed architectures, and is passionate about turning advanced research into product impact. An interesting thread across his career is repeated work on making data and models production-ready—from GDPR-compliant distributed datasets to inference stacks—illustrating a practical focus on reliability and compliance as well as innovation.
11 years of coding experience
7 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
English, Hindi