Jul 2020 – Sep 2021 · 1 yr 2 mos

• Worked with GE Renewable Energy, I got a chance to design and implement a cloud-native data simulation & management platform that creates and runs statistical/ML models in the cloud while spinning 1000’s of compute instances at once and analyzes petabytes of data every hour.
• GE Renewable Energy is a wind turbine manufacturer with engineers relying heavily on the predictions to design the wind turbines. Our home-grown language-agnostic data platform had become the source of truth to design, manage & run machine models to predict the loads & stresses that the wind turbine withstands during the expected lifetime.
• Responsibilities:
• Actively involved in feature development and mentoring peer engineers to make sure they have all the tools to do their daily jobs smoothly.
• Leading efforts for platform enhancement and maintenance with 99% of service availability.
• Achievements:
• Experienced working with cross-functional teams in developing new technology to usable product/feature
• Re-architected data simulation platform to use distributed clusters that resolved system scaling issues helping the users run millions jobs every day.
• Simplified Event-Processing/Streaming workflow across various data pipelines/model runs that help users to run millions of connected jobs every day.
• Architected system to handle petabytes of data efficiently and automated data lifecycle policies to reduce the storage cost.
• Scaled simulation platform to run 60000 docker container in production with reduced startup latency by optimizing Docker image distribution, the system can scale to 60000 nodes within minutes.
• Technologies and Tools
• AWS Cloud Services (EC2, ECS, ECR, RDS, SQL, AWS Batch), Docker, Kubernetes, Java Spring, Kotlin, Python, MATLAB, C/C++, Angular, NodeJS, Golang, REST, Postgres, HTML5, CSS, Agile, Apache server, Oauth2.
• MapReduce for processing framework and AWS Redshift for OLAP
• Chef, TeamCity, SonarQube, Docker for CI/CD

Feb 2019 – Jun 2020 · 1 yr 4 mos

Oct 2018 – Feb 2019 · 4 mos · Bangalore, India

• Cisco gave me an opportunity to apply my experience in designing the automation platform for network services surrounding networking products for Telco and, to grow into a leadership role. It was an amazing experience working with such a passionate and engaged team.
• Responsibilities:
• Led a cross-functional development team of 6 people.
• Collaborated with external clients (Telco) to create product automation roadmap.
• Technologies and Tools
• Java, Python, Docker, Network orchestrator, vSpare & Other virtualized technologies

Sep 2016 – Oct 2018 · 2 yrs 1 mo · Bengaluru Area, India

• In GE I worked with Predix cloud, which was designed specifically for industrial IoT. I was a member of Predix Data Science where we developed various data collection frameworks using edge devices/sensors and attached analytics/machine models to them.
• Responsibilities:
• Developed applications/analytics on Predix platform to monitor machine health and do preventive maintenance.
• Developed data collection frameworks to collect data from various machine sources.
• Worked & enhanced legacy systems accuracy using data cleansing and model re-training.
• Mentored junior developers and involved in hiring activities for my team.
• Achievements:
• Enhanced accuracy and stability of legacy Wind Resource Assessment and Micro-siting Data Platform, it was voted most stable platform by users after improvement.
• Developed predictive maintenance application for Schindler's elevators, escalators, and smart buildings using Predix cloud and edge devices, the application was able to connect thousands of edge devices at the same time.
• Used pattern recognition to develop autonomous asset visibility to provide insights into inventory usage & availability.
• Various projects related to Industrial IoT/Edge Analytics for Predix marketplace.
• Technologies and Tools
• Predix Cloud Services, AWS Cloud Services, Spark, HBase, Hadoop, RabbitMQ, MQTT, Google RPC, Oauth2, Docker, Kubernetes, Java Spring, R, Python, Angular, NodeJS, Redis, REST, Postgres, HTML5, CSS, Agile.

Jan 2015 – Sep 2016 · 1 yr 8 mos · Hyderabad Area, India

• Deloitte USI Cyber R&D gave me the opportunity to move system software to the world of Cloud, Big data and machine learning.
• Responsibilities:
• Developed a threat scoring system where artifacts related to cyber attackers/attacks were rated with a level of severity.
• Created and maintained a large-scale distributed network of compromised systems/honeypots to capture cyber attacker’s footprint.
• Developed a data collection pipeline with hundreds of crawlers running 24/7 and pumping data for real-time analysis and threat prevention.
• Developed framework for data distribution (scored cyber threat) for the client in Real-time.
• Achievements:
• Real-time data collection and an efficient ML-based scoring system prevented several high-profile clients from cyber-attacks.
• Our ultra-low latency & high-performance threat artifact search engine allowed our clients to monitor cyber-attacks in near real-time using customizable dashboards.
• Outstanding Performance Award in 2016 for a contribution towards the project’s success.
• Technologies and Tools
• AWS Cloud Services, Docker, Java Spring, Kotlin, Python, Angular, Redis, REST, Postgres, ZeroMQ, Kafka, Hadoop, HBase, Elasticsearch, Kibana.

Jul 2013 – Dec 2014 · 1 yr 5 mos

• I started my professional journey with Samsung and was promoted from Senior Software Engineer to Lead Engineer to Technical Lead. I got the opportunity to work with the Commercial Team, Research Team and was involved in the development of various Samsung products.
• Responsibilities:
• Developed networking solutions for various Samsung flagship models.
• Developed routing solution for Samsung speaker system.
• Involved in developing various control software using low powered technologies.
• Involved in the research team and created several patented technologies for Samsung.
• Mentored a team of 4 people which grew to a team of 25 in 2 years.
• Achievements:
• Developed a self-organizing mesh routing solution that was used in the Samsung Shape multiroom-audio speaker system, and it was a huge win for Samsung in the audio domain.
• Implemented adaptive HTTP Video Streaming that helped users to avoid interruption during low network speed.
• Delivered caching solutions to telecom providers in South Korea, it helped users to use telecom private networks to get the cached content with reduced latency and high speed.
• Delivered connection solution to telecom providers in South Korea for load Balancing.
• Involved in the release of Samsung flagship mobiles as part of the commercial team.
• Delivered memory manager to a home owned Samsung dolphin browser that improved mobile performance via efficient memory management.
• Technologies and Tools
• Linux kernel, microkernel, microcontroller, C/C++, Java, Networking stack, Android.

Jul 2012 – Jun 2013 · 11 mos

Jul 2010 – Jun 2012 · 1 yr 11 mos

May 2007 – Jul 2007 · 2 mos · Noida Area, India

• Worked on the ministry of corporate affairs (MCA) network Infrastructure and servers. Designed web-based application to access the education resources at TCS operation Center using JSP and oracle database.