Vinay Agarwal
LLM Fine-Tuning, Prompt-Engineering, And Big Data Dev
Cupertino, California, United States
Summary
👤
Senior🎓
Top SchoolVinay Agarwal is an AI Solutions Engineer in Cupertino with 14 years of experience building production-grade ML and big data systems. He specializes in LLM fine-tuning, prompt engineering, and distributed multi-GPU training, having deployed model-driven copy generation and FHA-compliant text pipelines for Zillow/Trulia. His engineering breadth spans data pipelines, microservices, serverless apps, and cloud infrastructure (Spark, Flink, Java/Scala, Python, AWS, Terraform), enabling end-to-end ML lifecycle delivery from data ingestion to inference. Vinay has hands-on experience with cutting-edge tooling—PyTorch, Hugging Face, PEFT/LoRA, DeepSpeed, LangChain—and has driven efforts to replace human labeling with fine-tuned “smaller” models targeting 99%+ accuracy. He blends rigorous academic training (IIT Kanpur, UMD MS, Wharton MBA) with product-focused execution, and even earned a Kaggle bronze in Zillow’s Zestimate competition while contributing SEO and analytics tooling. Notably, he built a distributed multi-machine training environment in AWS and launched neighborhood description generation on Trulia in 2024.
14 years of coding experience
The University of Maryland, College ParkBachelor of Technology (B.Tech.), Bachelor of Technology (B.Tech.) at IIT KanpurMaster of Business Administration (MBA), Master of Business Administration (MBA) at Wharton School, University of Pennsylvania
Hindi
Github Skills (200)
postgresql10
jsonb10
databases10
db210
javascript10
sql10
d110
database10
json10
sqlite10
cockroachdb10
mysql10
mariadb10
typescript10
sql-server10
Programming languages (10)
Github contributions (5)
vinkaga/learn-node
Jul 2016 - Sep 2016
Contributions:26 commits, 25 pushes, 1 branch in 2 months
vinkaga/node-backbone
May 2012 - Jun 2013
Contributions:12 commits in 1 year 1 month
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