RedFlag
An AI-powered scam detection tool that puts threat intelligence in the hands of everyday consumers.
Sofia Kung
I am
I'm a senior data analyst turned AI builder. After six years working across trust & safety, risk strategy and consulting at Binance, Gojek, and PwC — being the person who identifies risk and deploys solutions before damage compounds — I took a deliberate step back to ask what was worth building next.
I spent the past months going deep: AI automation, web apps, agents, taking ideas from zero to product. I've always wanted to build and now I'm focused on where it all converges: AI adoption that drives business outcomes, underpinned by the observability and risk thinking that makes it sustainable.
Professional Experience
AI Product Builder & Founder 2025 - Present
- Designed, built, and shipped production AI systems including agentic workflows and LLM-powered applications — from ideation through delivery.
- Built RedFlag, a consumer-facing AI-powered fraud detection tool using an AI fraud agent to analyze screenshots, URLs, and QR codes through security tools to protect users from scams and social engineering.
- Developed SHIRO, an agentic AI assistant using Claude Agent SDK and MCP that autonomously prioritizes tasks and executes research — architecting AI agents with memory, tool use, and dynamic skill generation.
Senior Data Analyst | Risk Domain Lead (KYC) 2022 - 2024
- Drove end-to-end AI and risk strategy for KYC domain, aligning Product, Engineering, Operations, and Compliance teams to scope and deliver data & AI-driven solutions — doubling risk coverage and improving prevention rates by 15% within one year.
- Spearheaded a new fraud domain through strategic analysis, translating ambiguous business signals into a roadmap of automated detection rules deployed within six months, catching 28K fraudulent submissions.
- Built analytical infrastructure — real-time monitoring pipelines, centralized databases, and stakeholder dashboards — enabling evidence-based iteration on detection models and measurable improvement in decision quality.
- Partnered with Data Science teams to co-design ML-based detection models, defining success metrics and translating complex analytical findings into actionable recommendations for senior leadership.
Senior Data Analyst (Trust & Safety) 2021 - 2022
- Identified operational inefficiencies and risk exposure through strategic workflow analysis, delivering $240K in annual cost savings by mapping processes and recommending risk interventions across operations.
- Scoped and delivered fraud detection rules for platform abuse in collaboration with Operations, balancing commercial outcomes with compliance requirements and user experience.
- Designed real-time monitoring dashboards for stakeholder teams, establishing data-driven decision frameworks that improved case resolution speed and operational visibility.
Product Data Analyst 2021
- Analyzed user behavior through event logs to optimize in-app flows and improve conversion rates.
- Developed Tableau dashboards for app-related data analysis, including funnel analysis and app performance monitoring.
Data Analyst Consultant 2019 - 2021
- Delivered consultative, data-driven solutions to enterprise clients in regulated industries, independently managing full project lifecycle from requirements gathering through stakeholder presentation and deployment.
- Built automated analytics systems and executive dashboards, translating complex data insights into strategic recommendations for operations and leadership teams.
Python Teaching Assistant (Part Time) 2018 - 2021
- Supported lead instructor across Python fundamentals and intermediate courses for cohorts of 30–40 students — answering technical questions, marking assignments, and developing an instinct for breaking down complex concepts for non-technical learners.
Data Analyst Intern (Internal Audit) 2018
- Developed real-time fraud detection dashboards using SQL and Alibaba Cloud tools for anomaly detection among Lazada's Southeast Asia ventures, improving risk monitoring efficiency by cutting risk monitoring time by 30%.
- Performed exploratory data analytics on voucher and warehouse transactions to uncover unexpected patterns, enabling the team to better understand transactional risks in each venture.