Available to hire
I’m a senior AI full-stack engineer with experience at Google, Microsoft, and BIK.ai, where I build reliable, user-focused products from the first idea through production. I enjoy working directly with customers, translating their needs into practical solutions, and delivering AI features quickly across industries including fintech, legal, real estate, e-commerce, healthcare, and logistics. My work combines modern web development, cloud platforms, large language models, RAG systems, and thoughtful evaluation practices.
Skills
Experience Level
Expert
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Intermediate
Language
English
Fluent
Work Experience
Senior AI Fullstack Engineer at BIK.ai
April 30, 2024 - July 31, 2026Architected and delivered secure, scalable AI-powered full-stack applications and cloud services using React, Next.js, TypeScript, Node.js, Python, AWS, Docker, CI/CD, and infrastructure as code. Built LLM integrations, RAG pipelines, responsive interfaces, REST APIs, third-party integrations, and automated workflows with n8n, Zapier, and Make.com. Led technical reviews, mentored engineers, and translated customer requirements into scalable delivery plans.
AI Fullstack Engineer at Alphabet Inc.
March 1, 2021 - March 1, 2022Built scalable full-stack web applications, APIs, and AI-enabled features for advertising and consumer platforms using React, TypeScript, Node.js, Python, REST APIs, Google Cloud, Terraform, Docker, and CI/CD. Implemented monitoring, validation, alerting, reusable components, third-party integrations, and early AI feature engineering focused on prompt and context preparation.
Full Stack Engineer at Microsoft Corporation
January 4, 2019 - February 3, 2021Built full-stack and backend services for enterprise productivity and collaboration products on Azure, serving millions of users across Microsoft 365 and related platforms.
runbooks that shortened onboarding for new engineers.
Education
Bachelor of Computer Science at Emory University
August 1, 2014 - December 1, 2018Qualifications
AWS Certified Machine Learning Engineer – Associate
December 16, 2024 - December 15, 2027Validates professional skills in implementing, deploying, and operationalizing machine learning solutions on AWS. Covers data preparation, model development, model deployment, inference, monitoring, security, scalability, and production ML workflows using AWS services such as Amazon SageMaker. Demonstrates the ability to move machine learning solutions from development into reliable, scalable production environments.
Professional Machine Learning Engineer
April 15, 2025 - April 15, 2026Validates professional expertise in designing, building, evaluating, productionizing, and optimizing machine learning and AI solutions on Google Cloud. Covers data preparation, model development, model evaluation, deployment, scalable inference, ML pipelines, monitoring, responsible AI, and production operations. Also demonstrates knowledge of implementing AI solutions using foundation models and modern generative AI capabilities.
Industry Experience
Software & Internet, Computers & Electronics, Professional Services, Healthcare, Real Estate & Construction, Travel & Hospitality, Education, Consumer Goods, Financial Services, Retail, Transportation & Logistics
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