1. Achieved full CD on a deployment pipeline and increased the time to ship to production by refactoring the outdated integration tests written in Java2. Deep dive on automation test frameworks like selenium and appium3. Averted multiple SAS risks by pruning the deprecated software package in amazon business pricing application 4. Reimplemented TOTP algorithm using RFC 6238 standard to achieve 100% automation in UI integration tests in all environments5. Worked with S3, Secret manager to develop a secure system to fetch test data

Develop cloud computing architecture to support IOT farming product solutions

Project coordination, and communications operations for a regionally-facing non-profit tech innovation organization based in the National Center for Supercomputing Applications (NCSA) at the University of Illinois, Urbana-Champaign.

Customer service representative responsible for troubleshooting problem with technology services. Brainstorm strategies for growth, positive change and improvement. Solve technology services problems through helpful recommendations and practical suggestions

Partner Portal : Continued working on the same project before but with additional responsibilities* Architecting the solution in AWS for handling customer data, and secure login (Authentication and authorisation) for the application. * Ensuring zero down time and high performance by employing rolling updates.* Ensuring secure development lifecycle across cross geographic tracks. * Integrating the Source Code app vulnerability assessment (SCAVA) into the CI/CD process* Mentored and guided junior team members on the application development processStretch Project: Analysed the war room incident data for the past three years. Cleaned up the data and used Tableau to generate an incident report, that identified the steps to reduce the occurrence of critical and high priority incidents

Service Delivery Platform: PaaS for distributed application workflows that span across different infrastructures with elastic scaling, advanced streaming, and batch processing capabilities for operational intelligence. * Developed backend system in Java for Data Onboarding (DOB). Created a streamlined process to bring in data from external data repositories (HDFS, Hadoop, HIVE, ElasticSearch, NFS, Postgres, Cassandra) using a scheduler or on-demand, and store it into the SDP platform consistently. * Used data analysis to Catalog and profile each of the data element that is brought into SDP, and publish the information into a data catalog portal.* Automated data flow process using Apache Nifi* Improved the platform performance and scalability by 78% after refactoring monolithic architecture based design to microservices using Spring Boot and Java.Partner Portal: Web application that empowered Cisco partners with customers insights. A one stop shop for Cisco partners to be agile, relevant and profitable. * Built microservices in spring boot java that employs predictive analytics to draw insights about contracts from customer databases* Migrated the application from on-prem to AWS environment. Worked extensively on AWS EC2, S3, Lambda, EKS, Step Functions, Aurora, API Gateway, Load balancers and other AWS technologies.* Streamlined the application deployment process by automating Continuous Integration and Continuous Delivery (CI/CD) using Docker, Kubernetes, Helm chart, CircleCI, and Drone.Event organisation: Actively involved in organising global team activities like CXEPI Talent show, New Year Bash, CSR activities to help the NGO's and Weekly fun Fridays. Functioned as Scrum Master during the absence of project manager, by handling the scrum ceremonies and project planning meetings.

* Led the media, marketing, and documentation team* Served as Master of Ceremonies (MC) for various official events* Organised awareness campaigns across Bengaluru City* Organised trekking activities and handled the logistics for the same* Mentored juniors on discipline and practices to be followed by an ARMY cadet

Applied my learnings in Statistics, Probability, and Data Modelling to build MATLAB models for efficient propulsion systems in Unmanned Aerial Vehicles (UAVs). I noticed that the applications of UAVs were limited by the risk of colliding with aerial objects. To address this, I developed an image processing algorithm using OpenCV, where I employed the Lucas-Kanade algorithm with a pyramid approach to detect, track, and predict the location of static and moving objects.