Senior Software Engineer

VIVEK GUPTA

+1-765-***-**** ********@*****.*** linkedin.com/in/guptav96 guptav96.github.io

PROFESSIONAL SUMMARY

Senior Software Engineer with 6+ years of experience designing and scaling real-time distributed backend systems, event-driven data pipelines, and ML-enabled decisioning infrastructure. Currently serves as technical lead on fraud-platform initiatives at Walmart Global Tech, contributing to a platform that prevents more than $2.5B in annual fraud losses across billion-scale transaction volume. TECHNICAL SKILLS

Languages: Java, Python, SQL, JavaScript, TypeScript, C++, C#, Scala Backend & Data: Kafka, REST APIs, GraphQL, Apache Spark, microservices, event-driven architecture, GraalVM, RabbitMQ Databases & Cloud: MariaDB, MongoDB, Cassandra, Spanner, BigQuery, MySQL, PostgreSQL, Redis, Elasticsearch, Neo4j, Google Cloud, AWS

DevOps, ML & AI: Docker, Kubernetes, Jenkins, Grafana, Prometheus, PyTorch, TensorFlow, scikit-learn, Cursor, GitHub Copilot PROFESSIONAL EXPERIENCE

Senior Software Engineer, Fraud Platform Walmart Global Tech Sunnyvale, CA Jan 2024 - Present

- Modernized event/advisory distributed systems by migrating SQL workloads to Cassandra, building Kafka event-driven workflows, and leading a Google Cloud database migration across MariaDB, MongoDB, and Spanner - scaling to 15K writes/sec while cutting latency by 40%+.

- Own CI/CD pipelines for backend services, Kafka streaming, and ETL deployments; use AI-assisted tools such as Cursor and GitHub Copilot for code scaffolding, test generation, documentation, and migration workflows.

- Deployed fraud detection models and dynamic rules into production Java services with JavaScript/Python rule-execution engines.

- Led GraalVM-based modernization of the fraud platform's scripting engine, improving scalability and maintainability while reducing rule- execution time by at least 30%.

- Served as technical lead for returns-fraud and contact-risk initiatives, driving delivery from design through production rollout.

- Core contributor to Walmart's real-time fraud detection platform, which processes hundreds of millions of transactions daily and prevents more than $2.5B in annual fraud losses.

Senior Software Engineer Medtronic

Lafayette, CO Oct 2023 - Jan 2024

- Designed and debugged C++ components for robot-assisted navigation systems used in spinal and cranial surgery procedures.

- Contributed to design, implementation, and reliability testing in a safety-critical medical-device engineering environment. Research Assistant Purdue University - National Air and Space Intelligence Center West Lafayette, IN Jan 2022 - Sep 2023

- Built a .NET/Python digital forensics platform to mine terabyte-scale disk images via containerized microservices.

- Implemented a Kafka-based analytics pipeline that boosted resource utilization 10x, integrating a React frontend via REST APIs.

- Built a Neo4j knowledge graph modeling file/artifact relationships, cutting investigation time by ~30%.

- Designed an invertible-neural-network reinforcement learning policy that outperformed DDPG by 138% on OpenAI Gym benchmarks. Software Engineer II Adobe

Noida, India Jul 2018 - Aug 2021

- Built core C++/JavaScript/.NET/Python components for Adobe's extensibility platform, enabling 300 native plugins across internal and external teams.

- Revamped 10 core plugins and platform APIs, cutting application launch time by 50% across flagship Adobe products.

- Led development of 20+ reusable React Native components, cutting feature-development effort 3x; owned Illustrator sharing feature through launch in 6 months.

- Earned a Special Contribution Award for prototyping a Photoshop dialog module and resolving deployment blockers pre-release. EDUCATION

Master of Science in Computer Science, Machine Learning Specialization Purdue University West Lafayette, IN Aug 2021 - Aug 2023 Teaching Assistant for Statistical Machine Learning and Compilers. B.Tech, Electronics & Communication Engineering (Minor: CS) Indian Institute of Technology Roorkee Roorkee, India Jul 2014 - May 2018 SELECTED RESEARCH & IP

- Gupta, V. et al. "MANER: Multi-Agent Neural Rearrangement Planning of Objects in Cluttered Environments." IEEE Robotics and Automation Letters.

- Co-inventor, U.S. Patent 10,650,094 - "Predicting Style Breaches Within Textual Content," based on deep learning and NLP research at Adobe.

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