Kevin W.
Senior AI Full-Stack Engineer
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Kevin W. is a Senior Software Engineer based in Oldsmar, FL, with approximately a decade of experience developing scalable full-stack systems and production AI applications. His expertise lies in integrating large language models, retrieval-augmented generation pipelines, and agent-based systems into practical products. Working across fintech, real estate, and SaaS industries, he has proven success in managing end-to-end systems, encompassing frontend, backend, infrastructure, and AI orchestration in high-scale production environments. While at Orita in New York, Kevin engineered AI orchestration layers and RAG systems, enhancing enterprise knowledge connectivity with contextual AI responses. At Pacaso in San Francisco, he crafted AI-driven property search systems and automated processes, significantly reducing manual workload. Previously, at Robinhood, he designed ML-based financial product recommendation and fraud detection systems, enhancing reliability with high-throughput data processing. Kevin has also contributed to real estate technology at Redfin and held an internship at Google where he developed productivity tools to boost engineering efficiency. He holds a Bachelor of Science in Computer Science from Stanford University, proficient in Python, JavaScript, TypeScript, C#, and cloud services like AWS.
Experience
Senior AI Full-Stack Engineer
Orita · 2024 — PresentDeveloped and deployed AI product features integrating React for the frontend, Node.js for APIs, and LLM-based backend services within production environments. Created Retrieval-Augmented Generation (RAG) systems that linked enterprise knowledge sources to LLM pipelines for generating context-aware responses. Constructed an AI orchestration layer facilitating multi-step agent workflows. Established an LLM evaluation and observability system to monitor latency, cost, and response quality. Enhanced deployment reliability by refining CI/CD pipelines for AI-enabled services. Mitigated production inference issues by implementing structured logging and tracking prompts and versions in AI workflows.AI Software Engineer
Pacaso · 2023 — 2024Developed AI-driven property search and ranking systems that optimized listing relevance in real estate marketplaces. Designed a ranking pipeline that utilized user behavior signals, pricing data, and market trends to enhance recommendation accuracy. Created document automation pipelines for property data extraction, significantly lessening manual operational efforts. Integrated an LLM-powered conversational assistant into customer workflows to automate property discovery and support. Built internal ML systems for lead scoring and user segmentation, aiding sales and growth teams in prioritization.AI Software Engineer
Robinhood · 2020 — 2023Engineered ML-based recommendation systems to facilitate financial product discovery within large-scale consumer applications. Developed systems for real-time fraud detection and transaction monitoring capable of processing high-volume financial event streams. Created feature engineering and data pipelines that supported ML training and production inference processes. Enhanced the reliability and scalability of distributed backend services managing extensive financial data workloads. Collaborated with data science and product teams to implement ML models within production experimentation and A/B testing frameworks.Software Engineer
Robinhood · 2019 — 2020Constructed frontend and backend systems for searching, filtering, and visualizing financial data critical to user interactions. Developed APIs for real-time financial data ingestion and transformation pipelines that supported downstream analytics. Established and maintained A/B testing infrastructure used in product experimentation and optimization efforts. Improved API latency and backend maintainability by refactoring services and optimizing performance.Software Engineer
Redfin · 2017 — 2019Created scalable property search and listing systems designed for high-traffic real estate discovery. Developed a real-time geospatial filtering system that enhanced the performance of map-based searches and mobile responsiveness. Built ingestion pipelines for MLS data processing large-scale daily property datasets across various markets. Designed experimentation systems, including A/B testing, to refine home tour conversion funnels. Optimized backend services and APIs, decreasing latency and improving throughput under heavy load.Software Engineer Intern
Google · 2017 — 2017Developed internal productivity tools aimed at improving engineering workflow efficiency across distributed teams. Created backend services and dashboards to monitor the health and performance of distributed systems. Enhanced service performance using caching strategies and query optimization.
Skills & Expertise
Education
- Bachelor of Science in Computer ScienceStanford University · 2013 — 2017