# Shivani Poovaiah Ajjikutira > Software Engineer II at Origence | CMU’22 Location: San Francisco, California, United States Profile: https://flows.cv/shivanipoovaiahajjikutira A proactive and quick learner, enthusiastic about software engineering. ## Work Experience ### Software Engineer II @ Origence Jan 2024 – Present | Irvine, California, United States ### Software Engineer II @ Origence Jan 2024 – Jan 2024 | Irvine, CA ### Software Programmer @ Marlabs LLC Jan 2023 – Jan 2024 ### Software Engineer @ Radiance Technologies Jan 2023 – Jan 2023 ### Software Engineer @ Happy Money Jan 2023 – Jan 2023 | Austin, Texas, United States Led the development and maintenance of Allocation Engine - a Spring Boot microservice hosted on AWS involved in handling loan originations, servicing, and application matching with Credit Partners using machine learning. The service provides integrations to multiple domains such as the Allocation Engine Machine Learning model for Credit Partner allocation of individual loans, Airflow DAG for scheduled jobs, Canonical sync for updating Q2(CLS) built on Salesforce Cloud, and Snowflake for business intelligence and data analysis • Re-architected Allocation Engine microservice from REST to Kafka event-driven processes triggered using CDC events from Salesforce via Canonical Event Bridge, ensuring enhanced scalability and security of real-time finance data. • Designed APIs to support concurrent loans and monitor volume limits thus increasing customer success by 20%. • Spearheaded an R&D project to analyze data inconsistencies across development environments using a Python script to ensure optimization of 40% by reducing data-related issues and improving software reliability. • Drove a complex database migration project across different Q2 cloud infrastructure versions, ensuring improved maintainability, system performance, and smoother end-user experiences using Python. • Orchestrated testing, code reviews, and code deployments to AWS, leveraging services like EC2 and Lambda functions, and monitored real-time performance by using Datadog APM and logging to optimize system efficiency. ### Student Consultant - Project Lead @ Tata Consultancy Services Jan 2022 – Jan 2022 | Pittsburgh, Pennsylvania, United States Leveraged the Food Digital Twin (FDTwin) technology from TCS Research that includes multimodal sensing, and data science to estimate food quality in real-time and predict remaining shelf life thus assuring the customer of the freshness of the purchased foods using an application on their mobile phones. • Built an enterprise mobile application for the TCS Research team, enabling customers to scan food items using phone cameras. The application predicted the quality index of scanned food items using the picture captured following image compression techniques and a TensorFlow machine learning model. • QR Code scanning feature which enables users to scan QR codes in supermarkets to get more information on fruit nutrients, place of origin, etc. • The app had customer features such as registration/login using JWT tokens for authentication, a profile page for personal information, history page for previous scan history, scan page to scan food items and a result page for scan results. • Project lead in charge of resource management, product management, strategy, planning and client communications. ### Full-stack Software Engineer @ Happy Money Jan 2022 – Jan 2022 | Remote • Implemented a robust, scalable micro-service hosted on AWS using Java Spring Boot programming for the Loan Management Platform using Kafka to update Salesforce document links to documents signed using DocuSign and seamlessly uploaded Amazon S3 to ensure successful document verification. • Utilized GraphQL API with Apollo Server, Node and Express for efficient search functionality using Elastic Search integrations within the Loan Management Portal facilitating comprehensive access to all applicant information. • Slack Overflow (Hackathon'22 Project), 2nd Prize in Innovation Category: Developed a React web application prototype to index and filter 704 public slack channels inside Happy Money to ensure easy communication internally. ### Graduate Web Programmer @ Carnegie Mellon University Jan 2022 – Jan 2022 | Pittsburgh, Pennsylvania, United States • Developed an end-to-end web application using Django and React frameworks hosted on AWS for the Mechanical Department to enable students and faculty to place nominations and vote for Teaching Awards within the Mechanical Department. ### Student Consultant - Intel Arc @ Intel Corporation Jan 2021 – Jan 2021 | Pittsburgh, Pennsylvania, United States • Analytics & Reporting: Analyzed qualitative and quantitative social media data on Brandwatch Tool to create campaigns for the identified four customer segments resulting in a 30% increase in the adoption rate of Intel Arc in the GPU industry. • Market Strategy: Conducted market research on the latest trends in the industrial shift towards sustainability and laid out user personas for Intel Arc's e-sport campaigns using research tools ### Graduate Teaching Assistant @ Carnegie Mellon University Jan 2021 – Jan 2021 | Pittsburgh, Pennsylvania, United States Teaching Assistant for Object-Oriented Programming with Java (95-712). Assisted students during programming labs and graded coding assignments. ### Software Developer @ Deloitte India (Offices of the US) Jan 2019 – Jan 2021 | Bengaluru, Karnataka, India Developed digital technology solutions for B2B and B2C companies in the e-commerce industry by building interactive end-to-end web and mobile applications. • Built and refactored responsive web applications for multiple clients using React, Vue, and Angular - on the front-end and Java SpringBoot, Node, and SAP Hybris - on the backend, resulting in improved user experience and application performance. • Leveraged Google Tag Manager (GTM) integration for SEO by monitoring website traffic to gain valuable metrics, enabling data-driven analytics to create customer segments and improve user engagement. • Implemented strategic page caching using Akamai CDN along with Vuex state management, reducing page response time by 60% - from 9.27s to 3.7s. • Collaborated with cross-functional stakeholders from UI/UX design and product, translating Zeplin and Figma mockups and wireframes into interactive and user-friendly interfaces, following Agile software development. • Utilized modern front-end web development build tools such as Webpack and Less/Sass for optimized asset bundling and efficient CSS styling, resulting in improved product features. • Fixed critical UI, SIT, and customer defects reducing the defect backlog by 25% ### Product Management Intern @ Betterhalf.ai Jan 2019 – Jan 2019 | Bengaluru Area, India Worked on the statistical analysis of customer data, app usage, identified loopholes in the application and suggested prospects for product updates as well as marketing strategies. Served as the primary point of escalation when customer issues arose and ensured quick resolution by translating customer requirements to the Design & Engineering team. ### Digital Marketing Analyst Intern @ Indian Institute of Management Bangalore Jan 2018 – Jan 2018 | IIM Bangalore Strategically analyzed page clicks, keyword hits & search engine traffic to determine ad campaign efficiency. Performed in-depth competitor reviews to check competitor activities, maintained market comparisons & evaluations, advised Sales & Marketing teams on how to tweak ads for larger profits. ## Education ### Master's degree in Information Systems Management Carnegie Mellon University ### Bachelor of Engineering - BE in Electronics and Communication Engineering Sri Jayachamarajendra College of Engg., MYSORE ## Contact & Social - LinkedIn: https://linkedin.com/in/shivani-poovaiah --- Source: https://flows.cv/shivanipoovaiahajjikutira JSON Resume: https://flows.cv/shivanipoovaiahajjikutira/resume.json Last updated: 2026-03-31