# Mayank Jindal > Building scalable AI software | Judge | Mentor | IIT Kharagpur Location: San Francisco Bay Area, United States Profile: https://flows.cv/mayankjindal I am Software Engineer at Amazon with a passion for leveraging Artificial Intelligence to enhance the digital world. With nearly 6 years of experience under my belt, I specialize in improving the efficiency of advertising moderation across Amazon's vast platform. My role involves using AI-based techniques to safeguard and elevate the quality of Amazon advertising content while also developing scalable software solutions tailored to support these initiatives. I have a comprehensive background in building and deploying machine learning models designed for production environments, ensuring they operate seamlessly and without issues. This task requires constant monitoring and a deep understanding of both the technical and operational sides of machine learning. In addition to my technical contributions, I play a crucial support role for other data scientists within my organization. I am responsible for setting up large-scale data processing jobs that extract valuable insights from extensive volumes of ad data. These insights are pivotal in defining strategies for future projects, demonstrating my commitment to not just maintaining but also enhancing the effectiveness of our advertising efforts. My work extends into the realm of cloud technology, where I have gained significant expertise in developing cloud-based microservices. This experience has afforded me a unique perspective that combines the disciplines of machine learning and software engineering, enabling me to envision and implement end-to-end solutions. ## Work Experience ### Software Development Engineer 2 @ Amazon Jan 2022 – Present | San Jose, California, United States • Owned the end‐to‐end design and implementation of a real‐time advertising policy distribution system powering Amazon Ads serving, enabling sub‐minute propagation of policy updates across downstream services and unlocking $9.1MM annualized revenue; received the organization’s Golden Goose award for impact. • Led the architecture and rollout of a large‐scale automation initiative for Amazon’s largest ads program, partnering with product managers to launch across 13 marketplaces, reducing human moderation workload by more than 10% and saving Amazon $1M/year. • Unblocked organization‐wide launch of a new moderation architecture by diagnosing and resolving a critical distributed‐systems bottleneck, increasing ads moderation efficiency by 64% under peak production traffic. • Drove an operational excellence initiative focused on CI/CD pipelines and automated testing, reducing pipeline sprawl and manual effort while saving developers 1200 hrs/year. ### Software Development Engineer 1 @ Amazon Jan 2020 – Jan 2022 | Greater Seattle Area • Designed and built a distributed quality‐scoring service for Brand Posts ads in the core ad ranking pipeline, reducing low‐quality impressions by 5 billion (50%) at scale. • Built and productionized a machine learning model to automate low‐quality ad detection, preventing shutdown of the Brand Posts ads program and protecting a business responsible for $16M of annual revenue. • Contributed to two research papers for Amazon’s internal machine learning conference, collaborating with applied scientists to evaluate model performance and production trade‐offs. • Led a re‐architecture of the advertising policy storage layer, migrating from legacy infrastructure to AWS DynamoDB and increasing data storage capacity by 50x. ### Featured Expert @ Criya Jan 2023 – Present ### Judge @ Global NGO Executive Committee Jan 2023 – Present | San Francisco Bay Area Judging a hackathon where participants will have two weeks to work on a project addressing one or more of the United Nations Sustainable Development Goals (UN SDGs). This could be anything ranging from an app or a website to creating a physical product or drafting a business plan. Hackathon details - https://gnec-hackathon-2023.devpost.com/ ### Student Mentor @ CodePath Jan 2023 – Present | San Francisco Bay Area Empowering underrepresented college students through personalized 1:1 mentorship, equipping them with essential skills and guidance for a successful career in software development and technical interview excellence. ### Judge @ Cal Hacks Jan 2023 – Jan 2023 | San Francisco Bay Area Judge at annual hackathon organized by UC Berkeley ### Judge @ HackMIT Jan 2023 – Jan 2023 | Boston, Massachusetts, United States Judge at HackMIT. HackMIT is one of the largest undergraduate hackathons in the world, bringing in over 1000 talented participants to work on amazing and innovative technology projects. ### Judge @ Columbia DivHacks Jan 2023 – Jan 2023 Judge at Columbia University's annual hackathon ### Judge @ Technovation Jan 2023 – Jan 2023 | San Francisco Bay Area I had the honor of judging Technovation Girls, where I evaluated and provided feedback to teams from 81 countries who developed over 2,100 mobile apps to address community problems. The projects tackled critical issues such as domestic violence, air pollution, education access, accessibility, water quality, and poverty. I was recognized as a judge advisor for my contributions. My name can be found among the judge advisors at https://www.technovation.org/blogs/2023-finalists-regional-winners/#judge-advisors. ### Summer Analyst @ Goldman Sachs Jan 2019 – Jan 2019 | Greater New York City Area • I have worked on an internal pricing tool for saving cost of the engineering division. • My work was to build restful web services in Node.js (JavaScript) for uploading usage data to the server via FTP and implement a user interface using react in JavaScript for CRUD operations to MongoDB database. • I also integrated Kubernets for automating deployment and Jaeger for distributed tracing. I have written unit tests using JavaScript testing framework Jest. ### Teaching Assistant @ University of Chicago Jan 2018 – Jan 2018 | Greater Chicago Area • I worked as a teaching assistant for the course "Computing for the social sciences". This was an applied course for social scientists for introducing data cleaning, data visualization, basic statistical models, text analysis and developing web applications using R programming. An introduction of Version control(Git and Github) was also provided. • Responsible for conducting weekly lab hours and office hours for 40 students • Graded weekly homework for 13 students and provided feedback • Course content for current quarter can be found at https://cfss.uchicago.edu/ ### Student Advisor @ Kharagpur Open Source Society Jan 2015 – Jan 2018 | IIT Kharagpur Kharagpur Open Source Society is a group of Open Source Enthusiasts who focus on something more preliminary and relevant, ”A Love for Coding”. Every year KOSS plans to hold events for familiarizing students with UNIX tools, Linux environment, Git Development Workflow, Practice Algorithms and Data Structures, besides conducting workshops on GUI programming, Web development, Android application Development and Hackathons. ### Google Summer of Code @ Mifos Initiative Jan 2017 – Jan 2017 • Reduced time for login into the Android app by implementing the 4-digit passcode system • Wrote reusable JAVA code with MVP pattern to extend the offline support for search, creating accounts and syncing information with the app database • Added database migration code and fixed 12 existing bugs; implemented features of sharing account and notifications by using the retrofit library for backend API integration ### Summer Internship @ Indiana University Bloomington Jan 2017 – Jan 2017 | Bloomington, Indiana • Spearheaded the successful integration of Harp, a Hadoop plugin, into the Intel Data Analytics Acceleration Library (DAAL) to develop a cutting-edge distributed machine learning framework, Harp-DAAL. • Demonstrated strong Java programming skills by extending the Harp-DAAL framework with the development of 7 machine learning algorithms using the Intel DAAL Java API, enhancing its capabilities and functionality. • Exhibited proficiency in cluster configuration by setting up Hadoop on the cluster, enabling seamless execution of Harp-DAAL and optimizing its performance. • Conducted comprehensive testing of the algorithms under various configurations, resulting in valuable insights to improve the benchmarking process of Harp-DAAL against other existing frameworks like Spark MLlib and FlinkML. • Leveraged a diverse tech stack, including Java, Hadoop, YARN, Spark, and Shell Scripting, to drive the successful implementation of the Harp-DAAL project. • Recognized as the top-performing student intern for exceptional dedication, technical prowess, and significant contributions to the team and project's success. • Contributions can be found at https://github.com/DSC-SPIDAL/harp/pulls?q=is%3Apr+author%3Amayank-kgp+ ### Google Code-In Mentor @ Mifos Initiative Jan 2016 – Jan 2017 • Volunteered for mentoring high school students on open source software development • Responsible for mentoring 13-17 years old high school students on open source software development • Created introductory tasks on GitHub and reviewed pull requests made by contributors • Resolved doubts related to the basic workflow of Git and GitHub ### Web Developer and Android App Developer at Cognitio @ Cognitio Jan 2015 – Jan 2016 | IIT Kharagpur • Successfully developed and designed the user-friendly website of Cognitio- an education startup • Implemented user registration system and maintaining user database on MySQL server • Developed an interactive quiz app for school going children of 6th to 12th class and deployed on google play store • Gained experience of working in a team environment and designing, developing, testing and providing applications to end users • Technologies used - HTML, CSS, Javascript, jQuery, Bootstrap, Android studio, XML, JAVA ## Education ### Master of Science - MS in Computer Science University of Chicago Jan 2018 – Jan 2019 ### Bachelor of Technology - BTech in Civil Engineering Indian Institute of Technology, Kharagpur Jan 2014 – Jan 2018 ## Contact & Social - LinkedIn: https://linkedin.com/in/mayankjindal97 --- Source: https://flows.cv/mayankjindal JSON Resume: https://flows.cv/mayankjindal/resume.json Last updated: 2026-03-22