Dattaraj Rao
Chief Data Scientist
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolDattaraj Rao is a Chief Data Scientist and SVP of Agentic AI at Persistent with over 20 years of engineering and AI experience driving enterprise-grade solutions across Retail, FinTech, Insurance, Healthcare, and Industrial domains. He has a strong track record of turning research and prototypes into production platforms—shipping a GenAI Hub adopted by key customers, agentic CTI workflows that map threat intelligence to enterprise assets, and LMM-powered insurance claim automation that halved manual processing time. Earlier roles at GE honed his systems and edge-to-cloud architecture skills, from remote monitoring of gas turbines to Kubernetes-based ML platforms and computer vision products for transportation. He blends deep technical craftsmanship (knowledge graphs, multi-agent LLM systems, MLOps) with product-facing delivery and customer evangelism, often translating complex domain standards into scalable implementations. Based in New Jersey, he combines mechanical engineering roots with a lifelong curiosity for practical problem solving and mentorship across large engineering organizations. Colleagues would note his uncommon focus on responsible, observable GenAI deployments that balance innovation with governance.
10 years of coding experience
19 years of employment as a software developer
Bachelors Mechanical Engineering, Bachelors Mechanical Engineering at Goa University
English, Hindi, Konkani, Marathi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (21)
single-shot-detector9
predix8
python8
machine-learning8
bounding8
image-url8
pytorch8
nvidia-docker8
data-science7
tensorflow7
keras7
deep-learning7
docker6
neural-network5
detector5
Programming languages (2)
Github contributions (5)
dattarajrao/keras2kubernetes
Jul 2018 - Jun 2019
Open source project to deploy Keras Deep Learning models packaged as Docker containers on Kubernetes.
Contributions:19 commits, 22 pushes, 1 branch in 10 months
containersnvidia-dockercaffe2deep-learningdocker
dattarajrao/PredixDeepLearning
Nov 2017 - Jun 2019
Caffe demo on Predix Cloud. Input the image URL which has to be analyzed. We will use a SSD model (Single-shot Detector) - which will identify specific objects from different categories and draw bounding boxes around the objects detected.
Contributions:10 commits, 12 pushes, 1 branch in 1 year 6 months
ssd-modelsingle-shot-detectorboundingdrawcomputer-vision
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