# Richard Delwin Myloth > Software Development Engineer @ Amazon | USC alum Location: New York, New York, United States Profile: https://flows.cv/richarddelwinmyloth I am a Software Development Engineer at Amazon, where I design and build scalable, cloud-native systems to detect compliance issues and fraud in the Amazon Associates (affiliate) program. My work spans distributed architectures, workflow orchestration, and large-scale data pipelines, leveraging AWS services such as Step Functions, Lambda, DynamoDB, SQS, Redshift, and Glue. Beyond Amazon, my experience includes data engineering at Sayari Labs, where I built Spark-based ETL pipelines on Google Cloud, Airflow DAGs for CI/CD, and large-scale web crawlers for corporate data extraction. I also contributed to ServiceNow implementations at Ignyte, developing PoC solutions (PSDS, CSM) for state-level healthcare workflows with custom JavaScript UIs and generative AI integrations. Earlier, I conducted research at the University of Southern California, developing a large-scale scientific knowledge graph that led to publications at AAAI workshops. In addition, I have authored peer-reviewed machine learning research, including a paper published in Elsevier’s Computers in Biology and Medicine that has received 300+ citations. My academic and professional work reflects a strong interest in the intersection of cloud computing, distributed systems, data engineering, and machine learning. ## Work Experience ### Software Development Engineer @ Amazon Jan 2024 – Present | New York, New York, United States • Develop automated systems to detect compliance issues and fraud in Amazon’s Associates program using technologies such as AWS Step Functions, Lambda, SQS, DynamoDB, etc. to execute compliance actions at scale. • Maintain offline data pipelines with AWS Glue and Redshift, enabling investigators and automated systems to process and analyze large datasets. • Led service migration to new AWS region and improved operational excellence. • Mentored intern to design and prototype Generative AI–based services for content policy violation detection. • Contribute to design reviews, code reviews, and on-call operations to maintain service reliability and availability. ### Associate Consultant @ Ignyte Group Jan 2024 – Jan 2024 | Washington, District of Columbia, United States • Built and customized ServiceNow apps (PSDS, CSM) for a PoC supporting Washington State’s court-ordered mental-health rehabilitation process. • Designed data flows and tailored UI with JavaScript to streamline patient case management; emphasized performance and data integrity. • Integrated generative-AI APIs to prototype diagnosis support and patient-notes analysis within ServiceNow. ### Data Engineer Intern @ Sayari | Commercial Risk Intelligence Jan 2023 – Jan 2023 | Washington, District of Columbia, United States • Designed and deployed big data pipelines using Apache Spark on Google Cloud Dataproc to support large-scale ETL operations, processing millions of corporate records daily, incorporating it into Sayari Graph • Built directed acyclic graphs (DAGs) in Apache Airflow for end-to-end orchestration of ETL workflows, improving operational reliability. • Leveraged Google BigQuery for advanced querying, ensuring scalability across billions of data points. • Developed Scrapy-based web crawlers on Google Kubernetes Engine (GKE) to automate corporate data extraction from public web sources. ### Software Development Engineer Intern @ Amazon Jan 2023 – Jan 2023 | New York, New York, United States Team - Traffic and Marketing Tech • Designed and developed a complete API service for retrieving eligible Amazon programs to creators to promote on their Amazon storefronts,. Deployed service to handle 300+ transactions per second. • Implemented full CI/CD (Infrastructure as Code) with unit, load, stress, and canary testing. • Employed a suite of AWS services like ECS with Fargate, Lambda, DynamoDB, CloudWatch, etc., for efficient scaling and monitoring. ### Research Assistant @ USC Information Sciences Institute Jan 2022 – Jan 2023 | Los Angeles, California, United States Center on Knowledge Graphs • Transformed a NoSQL database into a Neo4J-compatible knowledge graph with 17B edges and 400M nodes. This graph built using various graph database techniques is used to study author success, citation & collaboration patterns and citation intent. • Implemented a pipeline using ElasticSearch and lexical similarity matching to link 5M records for data completeness. • Utilized high-performance and parallel computing for graph analysis techniques like community detection and snowball sampling. • Produced 2 workshop papers on topics of author success and citation intent classification. • Analyze data and matched researcher data to voter records on names using EM algorithm. • Mine time-varying researcher affiliation data from publications to uncover work history and geocode work addresses via Google Maps API, to group data to metro areas, reducing record matching scope to a smaller area. • Enhanced organization name matching, resulting in an increased match rates to create high-quality ground truth data. ### Software Engineer @ SureWaves MediaTech Pvt Ltd Jan 2021 – Jan 2021 | Bengaluru, Karnataka, India • Developed and upgraded RESTful API services using .NET for Anna 2.0, a SaaS platform for programmatic optimization of TV advertisement allocation. • Collaborated with data analyst to research on the linear optimization of TV advertisement allocation using the Gurobi solver. • Worked with multi-linear and quadratic expressions in Gurobi to restructure API processes and requests. ### Software Engineer Intern @ SureWaves MediaTech Pvt Ltd Jan 2021 – Jan 2021 | Bengaluru, Karnataka, India • Automated data pipelines to process and manage large volumes of incoming television inventory information. • Developed and integrated a C# NuGet library as a central repository for frequent business workflows, improving reuse across 25+ microservices. • Built tools for inventory processing, improving efficiency in testing. ### Software Engineer Intern @ Eurofins IT Solutions India Pvt. Ltd Jan 2020 – Jan 2020 | Bangalore Urban, Karnataka, India Researched and developed a machine learning software system - "Risk Index Evaluation"; It analyzes risk posed by git commits to remote repositories. It is integrated into the existing git pipeline. • Analyzed and processed commit information from a large repository (100,000+ commits) to construct the dataset. • Evaluated and analyzed most contributing parameters in a non-interpretable ML Model with Explainable A.I. tools. • Tech Stack used- Python, Flask, Git API, Sci-kit learn, LIM ## Education ### Master of Science - MS in Computer Science University of Southern California ### Bachelor's degree in Computer Science and Engineering Visvesvaraya Technological University ## Contact & Social - LinkedIn: https://linkedin.com/in/richard-delwin-myloth --- Source: https://flows.cv/richarddelwinmyloth JSON Resume: https://flows.cv/richarddelwinmyloth/resume.json Last updated: 2026-04-05