# Adarsh Shetty > ML Infra @ Moloco | SCS @ CMU Location: San Francisco Bay Area, United States Profile: https://flows.cv/adarshshetty I build scalable software systems with a focus on performance, clarity, and long-term maintainability. My work spans infrastructure, automation, and backend engineering; driven by a bias for simplicity and precision. At VMware, I contributed to networking infrastructure and automated testing pipelines. At Carnegie Mellon, I’ve deepened my expertise in distributed systems and cloud-native design. I value clean interfaces, measurable outcomes, and ownership from design to deployment. ## Work Experience ### Software Engineer, ML Infrastructure @ Moloco Jan 2026 – Present ### Teaching Assistant @ Carnegie Mellon University Jan 2025 – Jan 2025 17-603 Communications for Software Leaders I (Fall '25) ### Software Architect @ Carnegie Mellon University School of Computer Science Jan 2025 – Jan 2025 Practicum project sponsored by Cisco: Architecting and building an Encrypted Traffic Activity Classifier. Leading a team of five engineers. ### SDE Intern - Bidding Infra @ Moloco Jan 2025 – Jan 2025 | Seattle, WA - Decoupled core creative schemas serving 280K+ ad creatives, enabling independent data evolution across teams and improving scalability of mission-critical bidding pipelines. - Built and deployed a migration framework ensuring backward compatibility and zero-downtime rollout, leveraging Go, gRPC, and config-driven staged deployment mechanisms. - Optimized in-memory data representation for high-volume creatives, achieving ~1 GiB memory reduction and preventing further growth as dataset scaled. - Designed and implemented a wrapper-based schema abstraction to safely support both legacy and new creative structures during migration. - Collaborated with 3+ cross-functional teams to test, validate, and roll out the new architecture, accelerating adoption and reducing migration risk. - Gained hands-on experience in distributed systems, schema design, performance benchmarking, and safe rollout strategies in production environments. Tech Stack: Go, gRPC, Protocol Buffers, Distributed Systems, Schema Design, ETL, Config-driven Rollouts, Performance Optimization, Scalability, Cloud Infrastructure ### Research Development Software Engineer @ Broadcom Jan 2023 – Jan 2024 | India - Automated end-to-end, unit, and integration tests for VPN, Business Policy, Infrastructure, and IPv6 components, reducing manual testing time by 70%. - Designed and deployed 30+ automation scripts for DHCP IPv6 Prefix Delegation, cutting feature testing time by 40% and ensuring readiness for major product releases. - Executed manual validation for 50+ test cases and contributed to code reviews, strengthening quality assurance before rollup releases. - Collaborated with cross-functional teams to optimize CI/CD pipelines, streamline test automation, and improve infrastructure reliability across distributed environments. Tech Stack: Python, Pytest, Shell scripting, Jenkins, REST APIs, Linux, Networking (IPv6, DHCP, VPN), CI/CD, Automation Frameworks, System Testing ### Member of Technical Staff @ VMware Jan 2022 – Jan 2023 ### Member of Technical Staff @ VMware Jan 2022 – Jan 2022 - Designed and deployed a cross-platform ETL pipeline in Python to extract and transform data from Jira and Testrail, visualizing over 90,000 tickets in a dynamic Power BI dashboard. - Implemented pagination, rate-limit-aware API calls, and incremental daily updates to optimize performance and stay within API limits, cutting runtime and bandwidth usage. - Built and integrated a SQL-based caching layer to persist historical data, reducing redundant requests and improving dashboard refresh speed. - Created custom priority views and filters to help QA teams triage high-impact issues faster, improving issue resolution time by 30% across multiple teams. - Automated the data refresh workflow through Jenkins orchestration, ensuring reliability and minimal manual intervention. - Collaborated cross-functionally with QA and platform teams to scale the solution from a single-team tool to an org-wide productivity enhancement. Tech Stack: Python, REST APIs, SQL, Jenkins, Power BI, Jira API, Testrail API, ETL, Data Visualization, Automation, Scalability ### Google Developer Student Clubs Lead @ Google Jan 2020 – Jan 2021 Google Developer Student Club Leads are passionate leaders at their universities who are dedicated to helping their peers learn and connect. Google selects DSC Leads once a year who are pursuing an undergraduate or graduate university degree and supports them as they start and grow their on-campus community. ### Project Intern @ Centre for Data Science and Applied Machine Learning Jan 2019 – Jan 2019 | PES University Worked for 2 months on a research project "Simulation Using Relative Depth Perception and Object Tracking". Research paper in the works. ## Education ### Master of Software Engineering - Scalable Systems in Computer Science Carnegie Mellon University ### Bachelor of Technology - BTech in Computer Science PES University ## Contact & Social - LinkedIn: https://linkedin.com/in/adarsh-shetty-01 - GitHub: https://github.com/ObliviousParadigm --- Source: https://flows.cv/adarshshetty JSON Resume: https://flows.cv/adarshshetty/resume.json Last updated: 2026-04-11