Jan 2023 – May 2023 · 4 mos · Austin, Texas, United States · On-site

Aug 2022 – Jan 2023 · 5 mos · Los Angeles, California, United States

May 2022 – Aug 2022 · 3 mos

Feb 2022 – Apr 2022 · 2 mos · Los Angeles, California, United States

• Creating graphics and logos for the Viterbi K-12 Center website & editing videos for the Youtube channel.

Jan 2022 – May 2022 · 4 mos · Los Angeles, California, United States

• Helping new Spring 2022 Graduate students navigate through the semester smoothly as possible.

Jan 2021 – Jul 2021 · 6 mos · Bengaluru, Karnataka, India

• Worked as part of SAP Concur Travel, the world's largest online travel booking system for corporates and delivered high-quality software updates as part of the SAP Concur Triplink team.
• Programmed backend microservices in Go & Java, while migrating code from monolith architecture based on ASP .NET and C#.
• Conceptualized and fabricated a server for capturing real-time data, anonymizing and mocking production data as test cases using Service Virtualization on Hoverfly framework and Golang, to reduce costs of hitting 3rd party APIs by over 70%.
• Developed on Java Spring Boot for various internal micro services and APIs in a distributed computing environment, debugged bugs and used Mockito for extensive unit and integration testing.
• Conceived, designed and engineered an innovative CRON job that updated Geolocation of client companies in database.
• Deployed scalable, fault tolerant microservices from scratch to AWS including DNS Onboarding, setting up Service Mesh and Envoy Proxy, instantiating AuroraDB and associated index and query system, configured CI/CD and Kubernetes configuration files for environment specific cloud deployments.
• Orchestrated CI/CD pipelines in technologies like AWS, Docker, Kubernetes and Jenkins.
• Collaborated with cross-disciplinary teams for decommissioning certain AWS and On-Premise environments to streamline deployments and reduce costs of maintaining multiple redundant servers.
• Coordinated engagement events as a SAP ISBN (Intelligent Spend and Business Network) People Ambassador for Bangalore.

Jul 2020 – Jan 2021 · 6 mos · Pune, Maharashtra, India

• Developed products for major business entities like TVS Credit, HDB Financial Services and Federal Bank for their consumer durable lending platform and our flagship product, GoNoGo.
• Worked on Angular and AngularJS for frontend development.
• Developed a JSON-based UI rendering mechanism that eliminated the need for hard coded elements in the UI code, thus reducing the overall coding complexity and saving development time.
• Refactored UI code to implement the latest technologies like lazy loading and ahead of time compilation to enable faster and more responsive user experience.
• Developed an end-to-end credit card onboarding system for the client, Federal Bank on Angular 10 from scratch. Incorporated a responsive design that works on all digital media.
• Worked on various other enhancements and features to keep up with the client requirements.
• Recognition:
• Received appreciation as part of the team from the COO of Federal Bank, Mrs. Shalini Warrier for delivering product with extended feature-set before time

Jun 2020 – Jul 2020 · 1 mo · India

• Crafted robust and accurate solutions for various client authored books in the field of Computer Science including Python, Java, C++, Project Management etc.
• Consistently achieved excellent accuracy rating of 93+%

May 2019 – Aug 2019 · 3 mos · Jamshedpur, Jharkhand, India

• This project aims to provide improved solution to the medical world, where millions of people die due to Sepsis, a fatal disease where the patient has dyregulated response to infection. Here we try to accurately predict the occurence of sepsis, hours before it actaully occurs. This project is based off the eICU database, managed by physionet. We use high frequency physiological data here (updated every 5 minutes) because static data does not allow us to get a deep insight into the patient's condition, and consequentially, the models are not accurate enough. In this project, we apply multiple machine learning methods to generate descriptive features that are clinically meaningful and predict the onset of sepsis.
• Also, an automated python package is in the making which will be able to make such models and extract descriptive features for various contexts and multiple datasets.

May 2018 – Jun 2018 · 1 mo · Jamshedpur, Jharkhand, India

• This internship was completed in the summer of 2018. Tata Steel is one of the largest steel manufacturing companies in the world. My job as an intern was to create an OPC (Open Platform Communication) client for digitizing PLC devices and make an HMI (Human Machine Interface). The software was made in C# and .NET. The client had to connect to an OPC server (Omniserver) and extract data from the device generated information. This was then manipulated and displayed to the administrator via the client. The admin can then further use the obtained data for device maintenance.

Dec 2017 – Apr 2018 · 4 mos · Gwalior, Madhya Pradesh, India

• I was an intern in Doctori8. This company focuses on providing automated softwares to manage appointments and sales to doctors. I worked on the Dashboard for the web and mobile view. I redesigned the Dashboard according to my mentors' preferences using HTML, CSS, SASS, Bootstrap, JavaScript, PHP, Ajax. I also worked in beautifying some of the elements in the www.doctori8pro.com website. I also changed many of the existing pieces of code in the back end to improve reusability. it was a good learning experience in the course of the internship, there were some hardships but it all turned out to be fruitful.