Jayant Raj
Director - Machine Learning Engineering, Generative AI, AWS
Chicago, Illinois, United States
Summary
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Senior🎓
Top SchoolJayant Raj is a Director of Machine Learning Engineering at PwC US Consulting with a decade of experience building cloud-native AI solutions on AWS, specializing in generative AI, MLOps and enterprise NLP. He has led award-winning platforms and industry-first MLOps deployments for top global pharma clients, reducing protocol processing times by 80% and enabling FDA‑compliant statistical programming transformations. Comfortable at the intersection of product, engineering and cloud operations, Jayant architects serverless pipelines, scalable model deployment fabrics and automated CI/CD for models at enterprise scale. He combines an MBA with a computer engineering background and a track record of turning research prototypes into production systems that standardize data, accelerate model delivery and cut operational risk. A frequent internal SME and innovation lead at PwC, he drives adoption of emerging frameworks and reusable ML patterns across the firm. Notably, his work spans both analytics-heavy simulation products and large-scale data engineering, revealing a rare blend of strategic leadership and hands-on systems engineering.
10 years of coding experience
15 years of employment as a software developer
MBA Master of Business Administration, MBA Master of Business Administration at The University of Iowa Tippie College of BusinessBachelor of Engineering - BE Computers, Bachelor of Engineering - BE Computers at Savitribai Phule Pune University
Github Skills (51)
serverless-plugin9
nginx9
step-functions9
docker8
serverless8
kong8
aws-step-functions8
api8
gateway8
api-gateway8
luajit8
artificial-intelligence8
amazon8
devops8
reverse-proxy8
Programming languages (5)
Github contributions (5)
DJMcK/aws-lake-training
Sep 2019 - Sep 2019
Contributions:47 commits, 18 pushes in 22 days
jraj002/simple_flask_docker_training
Feb 2018 - Jan 2019
Contributions:9 pushes, 4 branches in 11 months
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