Born and brought up in India, Obul did his Ph.D. in Cloud Computing and Big Data from University of Florida. His passions include Data, Data Science, Cloud, Big Data, Internet of Things, Bitcoin, Blockchain, Drones, Robotics and Open Source. He worked on OpenStack at Rackspace, on Aurora RDS at Amazon AWS and on Internet of Things at DAIICT. He was a core contributor to OpenStack Poppy. At present, he works at Nike as an Expert Engineer on Business Intelligence and Big Data working on many things including Data Science, Machine Learning, Deep Learning, TensorFlow, AWS, Google Cloud, Hadoop, Spark and Kafka.
To lead a data organization with my unique combination of expertise in Data Science, Machine Learning, Deep Learning, Cloud Computing, Big Data, Internet of Things and with my proven experience in similar initiatives. To plan, define and implement the technology strategy and roadmap for data companies with a keen eye for business. To create, build and manage data products, teams and communities. To drive the company using my excellent communication, organizational, leadership and problem solving skills.
CubeSat Cloud, a framework for distributed storage, processing and communication of remote sensing data on CubeSat cluster.
Courses: Machine Learning, Autonomic Computing, Advanced Data Structures, Distributed Computing, Computer and Network Security, Computer Communications, Entrepreneurship for Engineers.
Courses: Wireless Sensor Networks, Embedded Systems, Databases, Computer Networking, Security Protocols, Methods of Optimization, Calculus, Linear Algebra, Modern Algebra, Probability and Statistics, Discrete Mathematics, Quantum Mechanics and Quantum Computing.
Responsible for creating Machine Leanring and Real-time Streaming platform using TensorFlow, Kafka, Spark, AWS Kinesis and Kubernetes.
Responsible for creating Cloud architecture for Monsanto on Google Cloud and helped reduce Cloud costs by more than 50% across various divisions. Designed and built data science platform using TensorFlow, Jupyter, Kubernetes on Google Cloud. Architected the data pipeline that ingest billions of messages into Kafka in AWS. Built deep learning models for large scale image analytics and genome prediction.
Engineered significant portions of OpenStack Poppy, Rackspace CDN and Rackspace Cloud Queues. Designed and developed solutions for billing, log management, batch processing, real-time streaming and analytics using Spark, Hadoop, Pig Latin and Hive. Designed and built highly available and scalable web applications using OpenStack, Cassandra, MongoDB, Redis, Worker/Queue mechanisms.
Designed and developed transport mechanism for synchronizing database replicas. Implemented asynchronous APIs for database record transportation based on C++ Boost and Google ProtoBuffers. Automated parts of AWS infrastructure for Aurora RDS at Amazon using CloudFormation templates.
Worked on xMax, a real-time data and voice protocol. Designed, developed and tested the xMax logging, a Linux kernel module, to report network status and statistics to /proc.
Did board level and Wi-Fi testing on BlackBerry smartphones; Wrote python scripts to extract failures from logs and analyzed them to root cause the calibration issues.
Head of the Satellite Networks Lab at University of Florida. Lead FUNSAT V and VI satellite design competitions held by NASA and bagged first prize in FUNSAT-V. Designed and implemented communication protocols for SwampSat satellite. Designed and built CubeSat Cloud, a big data framework for CubeSat clusters.
Head of the Embedded Systems and Sensor Networks Research Lab. Lead WildCENSE and Tiger Image Sensor Network projects with teams of size 6 and 4. Built CENSE sensor network. Developed WCFFS flash file system and wrote several device drivers. Developed and implemented a grid based localization technique using signal strength from radio base stations.
Founded and organized the meetup groups. Gave tech talks on TensorFlow, Machine Learning, Data Science, Hadoop, Spark, AWS, Google Cloud, Cloud Computing.
Organized and / or gave tech talks on Hadoop, Pig Latin, Hive, Cassandra, Spark, Docker. Organized hackathons on Big Data, Cassandra, Containers, Analytics, Streaming analysis.