Solventum
Built applied AI solutions to improve assignment of new medical and business codes to concepts, contributed to grouper development, and supported cloud infrastructure for production delivery across AWS services.

Full-Stack Software Engineer
Master of Science in Computer Science from Georgia Tech with a specialization in Artificial Intelligence, plus 12+ years of software engineering experience designing and shipping full-scale systems across web, backend, data, and AI/ML.
Contact MeGet to know me
I am a software engineer and AI practitioner with over a decade of hands-on experience building production systems from architecture to deployment. My background spans full-stack development, scalable backend design, and data-centric product engineering. I build end-to-end applications across modern web stacks, from responsive frontend interfaces and intuitive user experiences to APIs, backend services, cloud infrastructure, and the data systems that support them.
On the AI/ML side, I build practical solutions that move beyond prototypes: predictive models, NLP pipelines, and LLM-powered applications with retrieval, evaluation, and reliability controls. I focus on measurable outcomes, clear tradeoffs, and systems that can be maintained by real teams.
I bring a senior-level mindset to execution: strong ownership, technical depth, and clear communication with stakeholders. I work especially well at the intersection of software engineering, data science, and applied AI, where thoughtful product development and fast delivery create meaningful business value.
Where I have delivered impact
Built applied AI solutions to improve assignment of new medical and business codes to concepts, contributed to grouper development, and supported cloud infrastructure for production delivery across AWS services.
Designed and implemented groupers to organize and classify complex data structures while building and operating cloud infrastructure using AWS IAM, EC2, S3, and CloudWatch.
Developed machine learning algorithms for ANSP optimization workflows used by major airline and national aviation programs, including engagements tied to Southwest Airlines, Singapore, and Qatar.
Built applications focused on increasing market adoption and revenue growth for Google Fiber initiatives in the Tennessee region.
Led engineers across multiple project tracks, driving architecture decisions, mentoring contributors, and shipping varied technical products under tight timelines.
Built and maintained core gameplay systems for a large-scale Minecraft experience inspired by Avatar: The Last Airbender and The Legend of Korra, while mentoring and leading other developers across a 2,000+ player community.
Side Projects
Full-stack Next.js 14 platform for Japanese learning with secure auth, kanji SRS review flow, and AI-assisted conversation practice.
Monorepo MVP with React frontend and Spring Boot backend featuring JWT auth, course progression, exercises, and generated dialogue audio.
Built a full-stack Next.js application for AI-assisted medical intake where conversational chat automatically captures structured patient details through FHIR integration.
Enterprise web system for structured asset tracking and operational workflows, built for real-world organizational usage.
Automated website monitoring tool that detects and reports meaningful changes, reducing manual tracking overhead.
Data science project focused on launch trends and predictive insight extraction from mission-related datasets.
What I can deliver
Design and delivery of scalable, full-stack platforms across frontend, backend, APIs, and data services with a strong focus on reliability, maintainability, and performance.
End-to-end machine learning systems from experimentation to deployment, including model evaluation, drift monitoring, retraining strategies, and practical MLOps workflows.
Applied LLM/NLP capabilities including retrieval-augmented generation (RAG), semantic search, text classification, prompt orchestration, and guardrails for enterprise use cases.
Advanced analytics, predictive modeling, and insight generation that translate complex datasets into actionable recommendations for product, operations, and leadership teams.
Hands-on delivery across CI/CD, cloud infrastructure, observability, and release pipelines to move solutions from prototype to production with speed and stability.
Senior-level ownership of architecture and implementation with strong cross-functional communication, technical planning, and delivery discipline for high-impact initiatives.
Lets work together