# Anup D. > Principal Engineer @ Intuit | MS in Engineering, Data Science Location: San Jose, California, United States Profile: https://flows.cv/anupd I am a technical specialist with 17 years in industry and known for brining turnarounds on complex delivery engagement with focus on quality, performance, and security. My expertise lies at the intersection of cloud computing, distributed systems, and artificial intelligence/machine learning, enabling me to contribute to the design and development of intelligent, scalable, and resilient cloud-native applications. I possess a deep understanding of core cloud platforms (AWS, GCP) and their respective AI/ML services (SageMaker, Vertex AI). This allows me to effectively architect solutions that leverage the power of cloud computing to train, deploy, and manage machine learning models at scale. I'm proficient in the principles of large-scale distributed computing, crucial for handling the massive datasets and computational demands of modern AI/ML workloads. I understand distributed training paradigms, data parallelism, model parallelism, and the challenges of optimizing distributed training processes. My knowledge of frameworks like Spark, Hadoop, and other distributed processing tools allows me to contribute to the development of efficient data pipelines for AI/ML. I can analyze and understand the trade-offs between different distributed architectures and help design systems that can handle the volume, velocity, and variety of data required for AI/ML applications. I'm well-versed in various machine learning algorithms and techniques, including supervised learning, unsupervised learning, and reinforcement learning. I can process and understand information about model selection, feature engineering, hyperparameter tuning, and model evaluation. My understanding of cloud-based AI/ML platforms enables me to contribute to the development and deployment of machine learning models in a production environment. I can help automate the ML lifecycle, from data preprocessing and model training to deployment and monitoring. Furthermore, I can help integrate AI/ML models into distributed applications, enabling intelligent decision-making and real-time insights. ## Work Experience ### Principal Engineer @ Intuit Jan 2019 – Present | Mountain View, California, United States • Led the development of a new Intuit branded Insurance product, generating over $50M in revenue. • Designed and implemented lead to cash process for insurance sales with pricing algorithms and underwriting rules. • Strategically leveraged internal capabilities and external partners for a highly available platform. • Building secure and compliant GenAI(MLOps) systems with a focus on explainable & responsible AI, compliance and the use of machine learning to mitigate security risks and fraud. ### Principal Engineer @ Equinix Jan 2015 – Jan 2019 | San Francisco Bay Area • Lead a global team to deliver multiple product features for the E-Commerce portal and APIs that added $ 280 M in revenue. • Mentored and managed developers across cross functional domain for various initiatives across Equinix. • Responsible for designing and building the modern version of the E-Commerce portal for Equinix, based on Microservices Architecture. Resulted in faster feature development and a more performant and resilient application. • Headed the Strategic alliance engineering for Cloud service provider (CSP) on behalf of Equinix. Responsible to co-develop, co-create partnered products and value-added services. • Mentored and managed developers across cross functional domain for various initiatives across Equinix. • Work closely with product management team, vendors, and clients to execute and deliver on the vision as the project leader. ### Software Architect @ PayPal Jan 2014 – Jan 2015 | San Jose, CA • Architected and implemented Executive Dashboard for Live and Sandbox Developer Portal for better merchant experience by analyzing structural and non-structural data. • Payment API integration for Account Service, contributed to PayPal Bluefin framework and re-arch PayPal Developer Sparta Web. • Built REST APIs to support mobile functionalities including app installation, registration and recording end to end app events for deeper analytics. • Collaborating and Operating cross-functionally across numerous teams in PayPal to ensure top notch merchant developer experience in the Live and Sandbox environment. ### Principal Architect @ Comcast Jan 2010 – Jan 2014 | Greater Denver Area • Architected Comcast Activation system and device provisioning to support 20M comcast customers. • Architected and implemented Enterprise Event Gateway / mediation system for biller events (CSG/Amdocs). ### Senior Software Engineer @ US Bank Jan 2008 – Jan 2010 | Greater Denver Area, CO • Launched Private client reserve CRM (COMPASS) for bank's wealthy clients. • START- TDS is the bank’s document system for handling / managing electronic documents / letters, it uses Adobe XDP, iText and Jasper Reports to generate PDF reports. ## Education ### MS in Engineering in Data Science University of California, Riverside ### DBDA.X418 Deep Learning and Artificial Intelligence in TensorFlow UCSC Silicon Valley Extension ## Contact & Social - LinkedIn: https://linkedin.com/in/k-anup --- Source: https://flows.cv/anupd JSON Resume: https://flows.cv/anupd/resume.json Last updated: 2026-04-12