# Mayank Dhingra > Software Development Engineer II | Master's in Computer Engineering Location: San Francisco Bay Area, United States Profile: https://flows.cv/mayank As a Software Development Engineer at Amazon, I design and implement highly optimized, serverless architecture using AWS Lambda, DynamoDB, and other AWS services. I also lead and manage end-to-end development, testing, and deployment processes for time-sensitive and critical projects, such as the EU compliance project and the Content Review Rating system. I graduated with a Master's degree in Computer Engineering from San Jose State University in May 2020, where I developed an enterprise solution for defect prediction and visualization in silicon wafers using Machine Learning, Deep Learning, Angular, and Canvas. I have a strong background and passion for building and testing scalable applications using modern technologies such as Java, Jupyter Python, JavaScript, React, Angular, Selenium, Jest, and JUnit. I am proficient in creating efficient and reliable test suites to ensure software quality and performance. I am excited about leveraging automation tools and frameworks to streamline development processes. I am open to new opportunities and collaborations in the software industry. Let's connect and explore potential synergies! ## Work Experience ### Software Engineer @ Cloudflare Jan 2025 – Jan 2025 ### SDE @ Grayycloud Jan 2024 – Jan 2025 ### Software Development Engineer II @ Atlassian Jan 2024 – Jan 2024 | San Francisco Bay Area ### SDE @ Divis Solutions, INC Jan 2023 – Jan 2024 ### Software Developement Engineer @ Amazon Jan 2021 – Jan 2024 | Sunnyvale, California, United States • Designed and implemented highly optimized, serverless architecture using AWS Lambda, DynamoDB to reduce dependency on synchronous AWS Step Functions in Amazon Ads Tier-1 checkout flow, reducing latency by 5% and contributing to a more robust and seamless customer experience. • Led a team of three members to successfully deliver a time-sensitive EU compliance project. Managed end-to-end development, testing, and deployment processes to ensure on-time delivery. • Transitioned all pipelines to full continuous delivery (CD), resulting in a 30% decrease in deployment time, 50% reduction in oncall burden and an overall increase in efficiency. • Designed and executed a comprehensive Content Review Rating system, collaborating with cross-functional teams to ensure seamless integration and usability, resulting in a 30% increase in targeted ad delivery efficiency. • Collaborated with a cross-functional team of 6 professionals to successfully deliver the Feature Rotator for Fire TV, resulting in a 15% increase in revenue for Amazon Ads. • Automated and streamlined the setup process for Checkout service, reducing time spent from 4 days to 2 hours. Released it as a library enabling other teams within the company to benefit from this leading to increased overall productivity. • Mentored new team members by scheduling weekly check-ins, explaining team architecture and tools, creating tutorials, and documenting a new hire wiki, resulting in faster onboarding and ramp-up time. ### Software Engineer @ eBay Jan 2020 – Jan 2021 | San Francisco Bay Area • Worked as a part of Checkout payments team involved in eBay’s shopping cart using eBay’s Raptor Framework. • Worked with a team of 3 people, planned, designed, and developed security module to verify identities of risky buyer from checkout perspective that reduced fraud buyer transaction by 5%. This was later adopted by different teams. • Designed and developed a module to block users from sanctions countries listed by govt. from making transactions. • During On Call rotation, identified a process improvement requirement and created tool to visualize various aspects of checkout platform for different users, errors, error types, and components using Grafana to help other on-call employees. This tool expedited on-call productivity by 30%. • Incorporated machine learning algorithms to reduce checkout page latency by 6%. • Contributed to ~5% rise in checkout rate by working on “Pay with points” feature that allows buyers to use eBay credit card rewards points for their future transactions. • Engineered a method that boosted the speed of the testing phase used by the checkout platform by 30%. ### Software Engineer @ KLA Jan 2019 – Jan 2019 Developed an enterprise solution for defect prediction and visualization in a micro sized silicon water to improve visualization rate from 2 million to 15 million using Machine Learning, Deep Learning, Angular and Canvas. ### Full Stack Developer @ mycricketleague.com Jan 2018 – Jan 2018 | Gurgaon, India mycricketleague is an innovative online platform that allows cricket enthusiasts to engage with the sport in a dynamic and interactive manner. Users can create their dream teams, participate in various leagues, and compete with fellow fans for exciting rewards. 🚀 Key Features: User-Centric Design: The website boasts a sleek, intuitive interface that enhances user experience, making it easy for participants to navigate, select players, and monitor their teams’ performances. Diverse Leagues: FPCL hosts a variety of leagues, ranging from free-entry options to premium leagues with higher stakes, catering to users with different preferences and levels of expertise. Real-Time Analytics: The platform provides live score updates, player statistics, and predictive analytics, offering participants valuable insights to make informed decisions. Secure Transactions: With robust security protocols in place, users can confidently participate in paid leagues, conduct transactions, and redeem rewards with peace of mind. Community Engagement: FPCL fosters a vibrant community of cricket lovers, providing forums, chat rooms, and social media integration for users to connect, discuss, and share their experiences. 🌟 Achievements: Successfully garnered a user base of over 500,000 within the first year of launch. Hosted over 10,000 leagues with participants from around the globe. Maintained a customer satisfaction rate of 95%, as evidenced by user reviews and feedback. Implemented cutting-edge technology to ensure seamless performance during high traffic periods, such as major cricket tournaments. 🛠 Technologies Used: Frontend: React.js, Redux Backend: Node.js, Express.js Database: MongoDB Cloud: AWS Others: Docker, Jenkins, Elasticsearch ### Data Science Intern @ JTEKT SONA AUTOMOTIVE INDIA LIMITED Jan 2018 – Jan 2018 | Gurgaon, India Developed a real-time license plate recognition for an automobile giant and extracted significant data points using Object Detection, Computer Vision, Open CV, Deep Learning, Python and CNNs ### Web Developer Intern @ Yemedo healthcare Jan 2017 – Jan 2017 | Noida Area, India Designed and developed a serverless based end to end Health Care Enterprise solution. ### Data Science Intern @ NCU (THE NORTHCAP UNIVERSITY) Jan 2016 – Jan 2016 | Gurgaon, India The goal of the project was to Compare perceptions of various products on different e-commerce companies using product reviews ## Education ### Master's degree in Computer Engineering San José State University Jan 2018 – Jan 2020 ### Bachelor of Technology in Computer Science The NorthCap University Jan 2014 – Jan 2018 ## Contact & Social - LinkedIn: https://linkedin.com/in/mayankdhingra02 --- Source: https://flows.cv/mayank JSON Resume: https://flows.cv/mayank/resume.json Last updated: 2026-03-22