I am an AI Engineer, Backend Engineer, and Technical Writer with four years of experience building practical AI systems, backend services, RAG pipelines, and developer-focused documentation.
I work primarily with Python, FastAPI, LLMs, vector embeddings, REST APIs, and cloud deployment workflows. I enjoy turning complex AI and engineering requirements into scalable products that are useful for both technical teams and end users.
I have delivered automation solutions that reduced documentation cycles by 50%, screen-recording summarization tooling that improved team efficiency by 30%, and SEO-focused documentation improvements that increased organic traffic by 40%.
I bring experience across remote, hybrid, and on-site teams, including technical leadership, quality assurance, roadmap ownership, mentorship, and cross-functional collaboration.
I also have a strong technical writing background, with experience migrating documentation platforms, improving information architecture, and creating clear API and developer documentation.
I am motivated by mentoring, research, continuous learning, and building AI-powered products that solve real problems.
Led the technical direction for a digital literacy training platform, including tool selection, infrastructure decisions, and the roadmap for career advisory products.
Owned QA and iterative delivery cycles to keep engineering output aligned with product goals. Mentored the engineering team on delivery practices and documentation standards.
Migrated documentation platforms for nTop, Coinbase, and FrankieOne from legacy systems including Hugo, Zendesk, and LearnDash to Mintlify. Restructured information architecture to improve discoverability.
Partnered with engineering teams to translate complex system features into clear, actionable developer documentation. Drove a 40% increase in organic traffic through SEO-optimized content structure.
Built a Markdown documentation automation engine using OpenAI o3-mini and vector embeddings, reducing documentation cycles by 50% for internal initiatives.
Created a screen-recording summarization tool using faster-whisper and o3-mini to automate video summaries and action-point extraction, improving team efficiency by 30%. Deployed AI-driven solutions on AWS through CI/CD pipelines and developed REST APIs for scalable backend integration.
Built a cross-platform Flutter and Dart application as part of a five-member team. The application included authentication, real-time chat, and push notification functionality.
Delivered a responsive user interface that contributed to a 20% increase in user engagement.
B.Sc., Computer Science
Bachelor of Science in Computer Science, in progress.
B.Sc., Computer Science
Bachelor of Science in Computer Science.
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