# Swapnil Bansal > Staff Software Engineer| AI integration for Risk identification and Safety Platform | AI, ML & Big Data Enthusiast Location: Sunnyvale, California, United States Profile: https://flows.cv/swapnilbansal I’m a Staff Software Engineer building AI-driven risk, privacy, and integrity systems at company scale. Over the past 8+ years, I’ve focused on solving high-ambiguity problems at the intersection of Generative AI, compliance, and Trust & Safety. I currently lead technical strategy for Meta’s AI-powered Risk Review infrastructure, architecting event-driven platforms that support thousands of product launches with near-complete coverage and high-recall risk detection. Previously, I led the Safety Pillar for Marketplace Integrity, building scalable trust layers across the transaction lifecycle — including Ratings & Reviews, Safety Toolkit, and enforcement systems — reducing scam prevalence and strengthening trust signals for millions of users. Beyond product impact, I drive systemic efficiency. My infrastructure redesigns and distributed systems optimizations have delivered over $20M in annual cost savings while improving reliability and developer velocity. I’m passionate about building durable technical foundations, navigating strategic pivots, and mentoring engineers into high-leverage leaders. ## Work Experience ### Staff Software Engineer @ Meta Jan 2020 – Present ### Staff Software Engineer @ Meta Jan 2024 – Jan 2026 | Menlo Park, CA Lead technical strategy for the Risk Identification team, building Generative AI–powered compliance and risk infrastructure embedded across Meta’s product launch workflows. AI-Driven Risk Platform: Architected and scaled an event-driven risk identification platform integrating LLM-based automation into compliance workflows. Achieved 98% recall within three months and expanded risk factor recommendation coverage to 98%, driving rapid adoption across product teams. Strategic Technical Leadership: Directed the Automated Risk Identification workstreams and led a high-priority strategic pivot, delivering 14+ critical features within 8 weeks to unblock major business initiatives. Infrastructure & Efficiency Optimization: Reduced annual cloud costs by ~$20M by eliminating synchronous execution bottlenecks and redesigning task orchestration into distributed asynchronous workflows. Operational Automation: Built an automated asset-scoping and interdependency graph system to accelerate compliance evidence gathering, significantly reducing manual overhead and improving precision/recall in asset identification. Mentorship & Talent Development: Mentored interns and engineers across the org, supporting successful return offers and accelerating technical growth in system design and production engineering. ### Senior Software Engineer @ Meta Jan 2023 – Jan 2024 | Menlo Park, California, United States Technical lead for privacy compliance infrastructure, building scalable systems to enforce launch readiness and reduce regulatory risk across product teams. Privacy Compliance Platform: Led the Launch Gating initiative, scaling compliance enforcement from 33% to 100% coverage and reducing incomplete privacy reviews by 45% company-wide. Infrastructure & Cost Optimization: Drove capacity planning and system performance improvements that reduced global CPU utilization by 1.4%, delivering ~$5.5M in cloud cost savings across 2023–2024. Operational Automation: Integrated intelligent asset recommendations into Evidence Manager, increasing adoption to 45% and reducing verification rework by 25%. Asset Discovery & Access Controls: Engineered automated discovery logic to identify 90% of in-scope assets for data retention and access governance, strengthening auditability and compliance posture. ### Senior Software Engineer @ Meta Jan 2021 – Jan 2022 | Menlo Park, California, United States Led architecture and delivery of scalable integrity systems protecting Marketplace transactions at scale. Trust & Safety Platform: Built the Marketplace Safety Toolkit (Safety Hub, Scam Education), integrating integrity signals directly into product UX. Increased safety feature adoption 5×, strengthened trust signal coverage by 48%, and reduced scam prevalence by 12%. Automation & Operational Efficiency: Key contributor to the “Fix Tool” automation initiative, eliminating large-scale manual integrity workflows and driving $197M in annualized operational savings. Infrastructure Reliability & Capacity Optimization: Optimized critical execution paths to reduce compute load by 0.35 gCPU, preventing peak-capacity outages and improving system scalability. Early Technical Leadership: Led the Marketplace documentation and operational excellence workstream, recognized through multiple internal awards for driving sustainable engineering practices. ### Software Engineer @ Meta Jan 2020 – Jan 2021 | Menlo Park, California, United States Marketplace Trust & Safety | Marketplace Integrity Creating a transparent trust layer that safeguarded community interactions. Built foundational trust infrastructure for Marketplace, embedding integrity signals directly into the buyer–seller experience. Ratings & Reviews Platform: Designed and launched the end-to-end bilateral Ratings & Reviews system, enabling structured buyer and seller feedback with public replies. Strengthened transaction transparency, contributing to a 50% increase in local transactions and 15% growth in shipping volume. Appeals & Integrity Workflows: Developed the Seller Appeals system to formalize dispute resolution and improve enforcement fairness. Implemented the Non-Buyer Cancellation flow to reduce order drop-offs and improve transaction reliability. ### Teaching Assistant — Advanced Programming in C++ @ The University of Texas at Dallas Jan 2018 – Jan 2020 | Dallas/Fort Worth Area Supported instruction for Advanced Programming in C++, mentoring students on object-oriented design, memory management, data structures, and performance optimization. Conducted lab sessions, debugged complex assignments, and provided structured feedback to improve code quality and system design thinking. ### Student Mentor — Young WISE Investigators @ Young WISE Investigators Jan 2018 – Jan 2020 | United States Mentored middle and high school students on year-long, project-based STEM initiatives across Internet of Things (IoT), Machine Learning, Natural Language Processing, mobile app development (Android/iOS), virtual reality, and robotics (drones and quadcopters). Guided students in translating technical concepts into working prototypes, fostering problem-solving skills and real-world application development. Contributed to initiatives promoting women in science and engineering by supporting hands-on learning and sustained technical engagement. ### Software Engineer @ Facebook Jan 2019 – Jan 2019 | Greater Seattle Area Integrated machine learning–driven misinformation signals into News Feed and Instagram ranking workflows, improving detection and reducing the spread of harmful content. Extended signal ingestion and model-serving pipelines across product surfaces, contributing to measurable reductions in viral misinformation propagation and improving system performance. ### Software Engineer @ Ford Motor Company Jan 2017 – Jan 2018 | Chennai Area, India Built a real-time calibration data management platform supporting vehicle system engineering and assembly workflows. Designed and implemented full-stack functionality using Java (Spring Boot), Angular, and SQL, replacing legacy tooling with a centralized, scalable solution. Developed RESTful APIs and backend services deployed on Pivotal Cloud Foundry, improving calibration version control, auditability, and cross-team collaboration while reducing external vendor dependency and maintenance costs. Participated in end-to-end product delivery, translating business requirements into technical designs, supporting UAT, and leading production rollouts. Led the creative and technical team for the New Recruits event, building a responsive mobile navigation application for schedule management and venue coordination. ### Software Engineer @ Sterlite Technologies Limited Jan 2016 – Jan 2016 | Gurugram Built an indoor positioning and automated attendance system using Bluetooth Low Energy (BLE) beacons, achieving ~3-meter location accuracy through RSSI-based proximity estimation. Developed a companion Android application and backend services (C++, Java, AWS) to map beacon locations, store positional data in the cloud, and trigger real-time proximity-based notifications. Explored IoT networking protocols and signal calibration techniques to improve positioning reliability in indoor environments. ### Marketing Internship @ Procter & Gamble Jan 2015 – Jan 2015 | Virtual Internship Supported digital marketing initiatives through social media campaigns, brand outreach, and promotional content design. ### Summer Trainee @ Bharat Sanchar Nigam Limited Jan 2015 – Jan 2015 | Raipur, India Completed a training project on optical fiber communication systems, studying transmitter/receiver architectures, signal amplification, and voice/data transmission over fiber-optic channels. ### Engineering Intern @ Kirti Agro Mill Pvt Ltd Jan 2014 – Jan 2014 | Bilaspur Completed industrial training on production processes and optical sorting systems using CCD-based image processing for quality control. ## Education ### Master's degree in Computer Science The University of Texas at Dallas ### Bachelor of Technology - BTech in Electrical, Electronics and Communications Engineering National Institute of Technology Warangal ### Technology and Entrepreneurship in Business, Management, Marketing, Product Development Indian School of Business ## Contact & Social - LinkedIn: https://linkedin.com/in/swapnilbansal --- Source: https://flows.cv/swapnilbansal JSON Resume: https://flows.cv/swapnilbansal/resume.json Last updated: 2026-04-12