Bachelor's Degree

Built core trading platform features including order status and portfolio views, supporting millions of active users.
Developed backend services handling high trade event volumes daily while maintaining strong uptime across the platform.
Implemented identity verification workflows meeting FINRA and SEC standards, reducing fraudulent account activity.
Shipped the recurring investment feature with compliance and mobile teams, growing daily active deposit users.

Software Engineer

Principal

Designed and deployed ML models for personalized financial content, growing in-app engagement and session length.
Built a real-time fraud detection system flagging fraudulent transactions within milliseconds to protect user accounts.
Developed churn prediction models that powered retention campaigns and recovered substantial annualized revenue.
Architected a feature store supporting many production ML models, cutting retraining time and improving team reuse.
Mentored junior ML engineers and set team standards for model evaluation, versioning, and production monitoring.

AI Software Engineer

Developed property search and listing features on the consumer platform, lifting search engagement over two quarters.
Built a real-time map-based property filter that reduced page load time and improved mobile buyer retention.
Engineered MLS data ingestion pipelines processing large listing volumes daily, keeping data accurate across markets.
Ran A/B tests on home valuation display components with product and design, yielding measurable tour conversion gains.
Refactored core listing APIs to dramatically reduce response time, eliminating a significant source of technical debt.

Shipped an internal tooling feature for hundreds of engineers, cutting configuration time via automated validation.
Contributed production-ready code to a distributed systems codebase, merged within the first six weeks.
Improved data retrieval latency across service endpoints through query restructuring and caching strategies.

Software Engineer Intern

Built an AI-powered property matching engine ranked by buyer preference, cutting average time-to-match significantly.
Launched a natural language buyer assistant that deflected the majority of inbound support tickets after release.
Engineered co-owner scheduling algorithms handling large volumes of monthly booking requests without manual work.
Integrated AI pricing models using comparable sales and demand signals to optimize share pricing across many markets.
Designed a document understanding pipeline that automated contract review, substantially reducing legal processing time.
Collaborated with the growth team on AI-driven lead scoring models, improving sales outreach efficiency across markets.
Improved recommendation accuracy through continuous model retraining on user behavior signals across the platform.

Architected and shipped LLM-powered features across the full stack, owning model integration, APIs, and user delivery.
Led integration of multi-modal LLM capabilities into core workflows, substantially expanding the platform's AI surface.
Built AI observability infrastructure covering tracing, hallucination monitoring, and latency to reduce regressions.
Established end-to-end testing standards for AI features across unit, integration, and regression suites platform-wide.
Owned the deployment pipeline for all AI services, using zero-downtime strategies to reduce production rollbacks.
Managed cloud hosting infrastructure for AI workloads, optimizing autoscaling policies to lower hosting overhead.
Designed and implemented RAG pipelines and MCP integrations to ground model responses in real-time enterprise data.

Senior AI Full-Stack Engineer

Senior AI/ML Engineer | LLM | RAG | Agentic AI | AI Agents | Machine Learning |  PyTorch | LangChain | MLOps | Cloud

Know about Kevin Wang's work experience, education, bootcamps, certifications, and much more. Kevin Wang