I am a results-driven software engineer and technical lead with over 12 years of experience overseeing the entire software development lifecycle, from concept to deployment. Throughout my career, I have delivered market-ready products that have fueled company growth and generated hundreds of millions in revenue. I specialize in building scalable AI-powered platforms and have extensive experience integrating cutting-edge technologies such as OpenAI GPT, Meta LLAMA, Google Gemini, and Anthropic Claude.
My recent work includes leading the development of Intuit GenStudio, an AI-powered platform supporting over 7,000 employees with significant daily activation and usage. I have also managed data integrity projects at Meta, collaborating with large teams and contributing to high-revenue products like Facebook Portal. At Google, I developed manufacturing testing tools for various devices, leveraging Angular, TypeScript, Python, and TensorFlow ML technologies.
I have a strong background in full-stack development, cloud-native infrastructure, and AI/ML pipelines. I am proficient in designing and implementing complex systems involving Kubernetes, Docker, Terraform, and CI/CD pipelines. My expertise extends to building robust frontend experiences using React, Next.js, and other modern frameworks, as well as backend services with Node.js, Python, and various cloud platforms.
Collaboration and communication are key strengths of mine, enabling me to work effectively across product, research, hardware, and data engineering teams. I am passionate about creating scalable, secure, and maintainable software solutions that meet business goals and user needs. I continuously seek to improve my skills and stay current with emerging technologies in AI, cloud computing, and software engineering.
I have contributed to projects involving real-time data streaming, machine learning model deployment, and advanced AI features such as conversational neural models and automatic speech recognition. My experience spans multiple industries including finance, retail, social media, and robotics. I am adept at navigating fast-paced environments and delivering high-impact results.
I hold a Bachelor of Science degree in Computer Science from San Jose State University and an Associate of Science degree in Computer Science from City College of San Francisco. I am based in San Francisco, CA, and am open to full-time opportunities where I can leverage my technical leadership and engineering expertise to drive innovation and business success.
Developed an end-to-end manufacturing testing platform for Pixel devices, building Angular (TypeScript) operator dashboards, TypeScript/Python microservices, TensorFlow/TF-Lite models for defect detection, streaming pipelines, and GKE/Cloud Run deployments. Collaborated with multiple engineering teams and implemented cloud infrastructure automation and monitoring.
Contributed to Intuit's GenOS/GenStudio generative AI platform, building core backend services, model orchestration, evaluation tooling, and frontend components. Implemented multi-cloud LLM integrations, streaming pipelines, policy engines, and CI/CD pipelines with observability.
Led frontend development for Walmart’s AR shopping experience, integrating ARKit/ARCore with React Native UI. Developed reusable component libraries, native SDK wrappers, and robust synchronization channels for live video shopping. Enhanced accessibility and telemetry instrumentation.
Engineered Meta Portal AI stack with end-to-end conversational models, real-time multilingual ASR, and content integrity pipelines. Built scalable data and inference pipelines using Kafka, gRPC, TensorFlow Lite, and GPU acceleration. Collaborated across teams to optimize AI models for embedded devices.
Designed and prototyped robot development tools and AI/ML models for human-robot interaction research. Developed user interfaces with React and Material UI. Collaborated with DevOps for cloud deployment and worked with robotics teams using Android, C++, Python, Docker, Kubernetes, and ROS.
Developed and optimized frontend for a clinic platform across web and mobile, including admin dashboard, payment billing, and live video chat. Used JavaScript, Angular, Bootstrap, D3.js, Node.js, and LAMP stack. Improved video latency and user engagement significantly.
Bachelor of Science in Computer Science
Associate of Science in Computer Science
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