# Aakaash Kapoor > Software Engineer @ Adobe | Ex-Amazon | Ex-Microsoft | Full-Stack & Distributed Systems Location: San Francisco Bay Area, United States Profile: https://flows.cv/aakaash Full Stack Software Engineer with 6+ years of experience building scalable, user-focused products at Amazon and Microsoft. I thrive at the intersection of backend reliability and frontend polish—turning UX concepts into performant systems that reach millions of users. At Amazon, I worked across large-scale distributed services that power device alerts for millions of Alexa users, contributing to core features, reliability improvements, and Java modernization efforts. Before that, at Microsoft, I helped design and ship storage solutions within Azure that improved capacity, efficiency, and internal developer workflows. I’m passionate about crafting simple, maintainable systems that solve complex problems at scale, and I enjoy collaborating across disciplines to bring products from idea to launch. ## Work Experience ### Senior Software Engineer @ Adobe Jan 2026 – Present | San Jose, CA ### Software Engineer @ Amazon Jan 2024 – Jan 2026 • Build and ship end-to-end features across React and Java services, including a reminders feature adopted by 2M+ users in the first month • Improve cross-device reliability for pipelines handling 10M–40M daily alerts, reducing incident recurrence by ~30% • Reduced app footprint by ~85% and improved load times through build-pipeline cleanup and resource optimization • Created reusable React component patterns adopted across FireOS, VegaOS, and Android teams, improving design-to-dev velocity by ~35% • Modernized backend systems from Java 8 → 17, improving build stability and lowering release rollback frequency • Support on-call rotations, triaging and resolving live issues across multiple cloud and device services • Explored context-aware AI enhancements to improve internal developer tools and accelerate feature development ### Software Engineer @ Microsoft Jan 2020 – Jan 2024 | Redmond, Washington, United States Worked on large-scale cloud storage systems focused on reliability, efficiency, and developer productivity. • Designed and implemented a storage optimization feature that improved capacity utilization while maintaining redundancy • Led migration of internal tools to modern web frameworks, improving usability and reducing maintenance overhead • Created secure role-based access tools that streamlined developer workflows and reduced incident time • Developed monitoring dashboards and test frameworks to improve system observability and release confidence • Contributed across frontend, backend, and infrastructure, collaborating closely with partner teams in Azure ### Software Engineering Intern @ Microsoft Jan 2019 – Jan 2019 | Redmond, Washington Working in Azure Archive Storage Team, on a internal dashboard used for maintaining the tape storage system. Creating a search bar using react that could get access all elements of the entire existing web app into one clean user interface for everything. Using C# and Node to make server side requests to various internal Azure tools to get data. ### Software Engineering Intern @ Alphonso Inc. Jan 2018 – Jan 2018 | Mountain View, CA Using Google’s SyntaxNet in python to build an HTML Parser which would intelligently parse TV Show Data including descriptions from various websites. Creating a mapper that maps TV data from schedule to a its original data, by matching descriptions with summaries using similarity scores using the GoogleNews data set. Then will focus on summarization of descriptions to match platform needs. Finally might use Computer Vision to create descriptions of images from each episode that would be helpful to target different audiences based on their preferences. ### Research Position @ University of California, Davis Jan 2018 – Jan 2018 | Davis, CA Working towards creating an American Sign Language recognizer that takes in finger pressure data as well as movement readings to predict each word. Each word is predicted using various machine learning techniques like SVM and LSTM, incorporating feature selection through PCA. ### Research Position Echo Chamber @ University of California, Davis Jan 2017 – Jan 2017 | Davis Working with a professor to replicate the echo chamber effect in a news app. Application in both iOS and Android, and using simple machine learning tools to bias the application based on user’s input. Finally storing real time information in firebase from about40-50 users to provide data for the research. ### Junior Programmer @ Academic Technology Services Jan 2016 – Jan 2018 | Davis Created MathNet, an online graphing tool used for educational purposes, for middle school students, updating it based on the user needs. Created the entire login system using SQL, JavaScript and node.js. Used HTML and CSS to transform MathNet to a more user-friendly tool. ### Founding President @ iDevelop @ UCDavis Jan 2017 – Jan 2017 | Davis, California Founder and President of a club that helps promote application development, by hosting workshops, and giving a platform to people, to develop mobile applications together. ## Education ### Master's degree in Computer Science University of California, Davis Jan 2019 – Jan 2020 ### Bachelor's in Computer Science University of California, Davis Jan 2015 – Jan 2018 ## Contact & Social - LinkedIn: https://linkedin.com/in/aakaash1308 --- Source: https://flows.cv/aakaash JSON Resume: https://flows.cv/aakaash/resume.json Last updated: 2026-03-22