P R O F I L E
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SUMMARY
I am an Engineer. I love to Learn, explore new Technology and solve real-world problems. I have been with GE for 18 years part of Global Research, Power and Transportation.
Currently, I am leading the Analytics and Artificial Intelligence (AI) Strategy for Transportation Digital. This involves identifying opportunities to enhance new and existing Products and drive outcomes like Predictive Maintenance, Machine Vision and Digital Twins. We are building a state-of-the-art Machine Learning platform to address major Data Science concerns like Data Cleansing, Preparation, Model Selection, Hyper-parameter tuning, Distributed Training and Automated Deployment. Collaborating with strategic Partners to build components for this Kubernetes Platform aimed at Cloud and On-Premise deployment. Also driving Edge Analytics Strategy including selection of hardware acceleration chipset - evaluating solutions like NVIDIA GPU and Google TPU.
I led the Global team that incubated Video-based Inspection for the Railway Track from idea to a commercial offering. This involves building a Digital Twin of the Railway Network by analysing live video feeds using Deep Learning and Computer Vision. We incubated this idea out of Bangalore and have 10 patents on this Technology.
I also played the role of Innovation Leader for Bangalore Engineering team of 400+ Engineers. Helped teams incubate ideas like Virtual Operator Cab, Augmented Reality (AR) inspection and Engine/Turbocharger Prognostics - and translate into funded programs.
AREAS OF EXPERTISE
- Machine Learning, Computer Vision, Deep Learning
- Kubernetes, Cloud Analytics, BigData Architecture
- Remote Monitoring and Diagnostics, Knowledge-based Engineering
EXPERIENCE
- Principal Architect - GE Transportation (Bangalore) :
Thought Leadership on Artificial Intelligence, Deep Learning and Digital Twin Technology. Leading Deep Learning programs to extract Knowledge from Railway Track videos, Reinforcement Learning to capture human decision-making patterns, AutoML for hyper-parameter tuning and Driver fatigue monitoring.
Architecting a Kubernetes-based Cloud Platform to develop clear path-to-production and DevOps plan for Machine Learning (ML) algorithms. Empowering Data Scientists with cutting-edge tools like AI workbenches (H2O.ai, Jupyter), ML workflow pipelines (Kubeflow), Model Deployment (TensorFlow-Serving) and distributed runtimes with BigData and GPU clusters.
Hands-on experience in Python, OpenCV, Spark, TensorFlow, Keras, Ionic, Docker, Kubernetes - developing rapid prototypes to understand and demonstrate value of new Technology. Played role of Innovation Leader for a 400+ strong India Engineering team. Helped teams incubate ideas - connect with Product Management and convert into funded programs.
- Chief Architect RM&D at GE Energy (Norfolk, VA) :
Developed Technology road-map and System Architecture for the RM&D Onsite monitor and Enterprise Software. Successfully worked with Engineering and Product Management to incubate new programs like Integrated Rules Engine and Visualization layer.
- Lead Engineer at GE Energy (Norfolk, VA) :
Developed Technology road-map and System Architecture for the RM&D Onsite monitor and Enterprise Software. Successfully worked with Engineering and Product Management to incubate new programs like Integrated Rules Engine and Visualization layer.
- Research Engineer at GE Global Research (Bangalore) :
Developed Technology road-map and System Architecture for the RM&D Onsite monitor and Enterprise Software. Successfully worked with Engineering and Product Management to incubate new programs like Integrated Rules Engine and Visualization layer.
ACADEMICS