# Ojasava Paras > Infrastructure & AI @ Audible (Amazon) | Cloud Cost Optimization | Distributed Systems | Multi-Agent AI, RAG Location: New York City Metropolitan Area, United States Profile: https://flows.cv/ojasava Infrastructure and AI Engineer at Audible (Amazon) with hands-on experience in cloud cost optimization, multi-region AWS architecture, and distributed systems at enterprise scale. Led a migration that reduced infrastructure costs by 40% while achieving 99.95% availability. Built an org-wide load testing framework adopted by 100+ engineers across 20+ teams. Currently part of the Consumer Domain working on ACORN, the team responsible for Audible's cart and returns infrastructure. These services are foundational to Audible's marketplace, handling customer purchases and returns at global scale. Previously, I modernized Audible's QA infrastructure, built microservices at Zyyo for portfolio dashboards, and developed sentiment analysis applications at Moodbit using AWS SageMaker. I hold an MS in Computer Science from NYU, where I focused on deep learning and computer vision. What drives me: Building systems that scale, optimizing performance, and tackling complex distributed systems challenges. Always interested in conversations about infrastructure, ML applications, or hard technical problems. Recently built Sentinel: a multi-agent AI system for automated production incident analysis using Claude API, RAG, and AWS CDK. agent.ojasavaparas.com ## Work Experience ### Senior Software Engineer @ Audible Jan 2022 – Present | Newark, NJ - Spearheaded region flex migration for multiregion Audible EU marketplace and launched core services in Spain and France as a company-wide effort to reduce infrastructure cost by 40% and increase availability in Southwestern Europe. - Proposed and developed a first-of-its-kind project integrating Hydra Load Testing into the MAWS/LPT pipeline using AWS CDK, enabling scalable load test execution and laying the foundation for org-wide adoption of performance testing in CI/CD. - Reduced onboarding time by 50% for NAWS TPS Generator by automating infrastructure setup and CDK deployment, enabling 20+ internal teams to prepare seamlessly for GameDays (Prime Day simulations) and incident simulations, significantly reducing maintenance effort. - Created and launched a new Fortify pipeline to support TypeScript-based services, enabling dashboard visibility for 25+ previously unsupported services and enhancing security audit coverage by 35%. - Integrated Audible Needle framework with Luminos for the QA team, enabling improved testing using Hydra. ### Software Engineer @ Zyyo Jan 2021 – Jan 2022 | New York, NY - Developed Zyyo Admin which is a cluster of microservices to manage data and users across the website which increased the efficiency of employees and introduced seamless data imports/exports. - Implemented an Automation System to import data from investment models to the Zyyo portal website integrated using React and Express JS framework and migrated data from PostGreSQL to MongoDB which increased website load time by 60%. - Strategized and set up a CI/CD pipeline for automatic build and deployment using Jenkins CI and Git. Implemented a staging environment using AWS Linux EC2 Instance and configured NGINX server to serve an API and front-end on requested Port. - Improved our architecture to Microservice architecture and containerized independent services using Docker. - Strategized and Integrated MongoDB with Kubernetes for headless architecture and scalability. - Implemented an autonomous emailing service by integrating Sendgrid API with our Express JS framework ### Software Engineer @ Moodbit Jan 2020 – Jan 2021 | New York City Metropolitan Area - Developed apps and bots on Microsoft Teams using the technology stack: Node JS and Javascript. - Administrated the deployment of these apps on Teams while running the server on Glitch. - Maintained a Database and analyzing the collected data from the apps using Sagemaker and other AWS services. ### Web Developer @ Reforestation Nation Jan 2020 – Jan 2020 | New York, New York, United States - Created a website from scratch for the Non-Profit Organization - Reforestation Nation. - Launched the website with partner organization - One Tree Planted, collaborating on tree plantation projects. - Website created is currently showing an 11% increase in social media interactions, attracting higher donations and volunteers. ### Software Engineer @ NYU Langone Health Jan 2019 – Jan 2019 | Greater New York City Area - Deployed and managed the Automation app used by Charvet Neurology Lab for patient study and recording data. - Processed Raw Grip data and analyzed the clean data for Motor dexterity study using MATLAB to compare the performance of a patient over time. - Implemented Eye-tracking for VR headset using Unity and Tobii VR Pro Lab to analyze the eye-tracking data and create VR projects for patient study. ### Data Engineer @ Moodbit Jan 2019 – Jan 2019 | Greater New York City Area - Worked on Predictive Machine Learning models using AWS. - Built a sentiment analytic models on AWS Sagemaker using NLP and WordClouds. - Using client data deployed a customer feedback program that uses sentiment analysis to predict the satisfaction of the customer on the service provided. ### Computer Science Q&A Expert @ Chegg Inc. Jan 2018 – Jan 2018 | Online Internship - Answered more than 50 computer science based programming questions posted by students with a high-quality rating and detailed explanation. - Assisted more than 200 students from STEM background with core computer science questions/queries. - Interacted with students online to clear their doubts on the solutions of the questions posted online. ### Technical Content Writer @ LearningZapper Jan 2018 – Jan 2018 | Online Internship Content/Technical Writing Internship. Creating content for their website, which is a student learning portal. Planning how the information will be available to the students on the portal. ### Research Assistant @ Vellore Institute of Technology Jan 2017 – Jan 2017 | Vellore Area, India Researched on Convolutional Neural Networks under Prof. Jaganathan L for the winter semester 2017. Explored various Data-preprocessing techniques that helped us understand the data and its nature. Compared different deep learning techniques and compute the difference in training errors and performance of the network, giving us an insight into the training technique. Worked on projects on Kaggle (MNIST, Titanic etc) to implement our research and verify our results. ### Assistant Database Administrator @ Jindal Steel & Power Ltd. Jan 2016 – Jan 2017 | Raigarh, Chattisgarh, India Prepared databases and instructional guide to facilitate customer request entries with production details. Developed weekly reports to streamline the communication between developers and project team. Monitored the quality control system for the company database by identifying bugs/fixes. Generated log tables to track changes made in the database systems. ### Linux System Administrator @ Vellore Institute of Technology Jan 2015 – Jan 2016 | Chennai Area, India ## Education ### Master of Science in Computational Science New York University Jan 2018 – Jan 2020 ### Bachelor of Technology in Computational Science Vellore Institute of Technology Jan 2014 – Jan 2018 ## Contact & Social - LinkedIn: https://linkedin.com/in/ojasavaparas - Website: https://ojasavaparas.com - GitHub: https://github.com/ojasavaparas --- Source: https://flows.cv/ojasava JSON Resume: https://flows.cv/ojasava/resume.json Last updated: 2026-03-23