Working at Amazon Prime Tech to support technologies for improving customer engagement and retention.

Current responsibilities include managing a product team, setting goals, identifying tasks, mentoring, leading the development tasks, DevOps, networking and infrastructure, developing new ideas, and communicating with clients. Personal focus is on development and implementation of smart data pipelines that support various algorithms for text, image, and video processing.

Current responsibilities include managing a product team, setting goals, identifying tasks, mentoring, leading the development tasks, DevOps, networking and infrastructure, developing new ideas, and communicating with clients. Personal focus is on development and implementation of smart data pipelines that support various algorithms for text, image, and video processing.

* Responsible for task management and tracking through scrums* Developed roadmap and helped implement features to drastically reduce the customer wait times for analytics results

* Led the effort to implement and use high availability noSQL datastore* Led the implementation of log aggregation and infrastructure monitoring* Developed scripts to support zero downtime deployments* Developed scripts to support quick failover for database clusters* Led the effort to use Ansible and Docker in support of DevOps operations* Assisted in developing CI/CD pipelines* Developed multiple features across the entire stack using Java, Python and Groovy* Assisted in task management through JIRA

• Developed concepts, algorithms and software for using Machine Learninig for Aviation safety• Developed novel approaches to schedule air traffic at the single or multiple airports using distributed architecture and linear programming to provide a robust solution with objectives to maximize throughput and reduce delays• Implemented a big data tool for large scale ATM studies that can be used for data warehousing, data mining, metrics calculations, and results visualization• Led efforts with airlines and FAA to optimize traffic flows through congested airports in near to mid term

* Responsible for task management and tracking through scrums* Developed roadmap and helped implement features to drastically reduce the customer wait times for analytics results

• Worked on NASA Next Generation Air Transportation System (NextGen) project• Aimed to asses fleet wise effects of future aircrafts and technologies on the air transportation network • Tasks assigned include− To build NASA FLOPS (Flight Optimization System) based, high fidelity aircraft models (Boeing, Airbus, Embraer, Bombardier models)− Compute fuel burn, Direct Operating Costs for routes on LMINET 102 airport network− Compute NOx emissions on LMINET 102 airport network

• Assisted in a course titled 'Numerical Methods'• Graded homework and exams• Held regular office hours• Maintained the course website

• Worked on the upcoming GSLV mk-III (Geosynchronous Satellite Launch Vehicle) project during the conceptual design stage. Initial work was related to structural analysis and some documentation tasks. The analysis was useful in estimating the robustness of the design and secured the final go-ahead for the manufacturing stage. • Utilized CFD for launch vehicle design configuration analysis, worked with in-house developed solver ‘Paras 3D’ to study flow deviation for core alone model of PSLV (Polar Satellite Launch Vehicle). • Involved with wind tunnel data analysis and interpretation. Data from supersonic wind tunnel tests of the launch vehicle were analyzed and reports made.

• Involved with Light combat Helicopter project. Initial tasks included data surveys and detailed design reviews. Previous helicopter designs were compared assessed.• Was involved in wind tunnel testing of the 2nd prototype design model. Was responsible to write codes for data conditioning and interpretation. Pressure, Lift and other parameters were plotted and design review reports made.• Visual Basic was used to automate the generation of plots from a flat file, which was much appreciated by the company. Time required for generation was reduced by one-fourth and was proved to be more accurate.• The reports indicated certain design changes, which were identified and forwarded to the design team. These changes were used to modify the design of 3rd wind tunnel model.