Staff Software Engineer, Applied AI at Ramp | Duke CS (AI/ML)/ECON (Finance) '22 β Currently cooking at Ramp π¨βπ³πͺπ½οΈ
Ideas brought to life. A look at the products, companies, and creative works built from the ground up.
Worked on AI systems to improve merchant classification, embeddings-based retrieval, and RAG/LLM guardrails to automate merchant matching and related applied-AI problems for Ramp's fintech products.
Contributed to applied-AI initiatives within Ramp (receipt matching, intake automation, intelligent procurement/three-way match capabilities) that power product automation and intelligence.
Led or co-led hackathon teams that won First Place (Sustainability Track at Hack NC; Connectivity Track at DevDisrupt) demonstrating prototyping and product execution skills in sustainability and connectivity domains.
A collection of articles, interviews, and viral content where achievements have been shared.
Formal validation from the top. A showcase of official awards, grants, and government acknowledgements.
Aliens of Extraordinary Ability. Reserved for individuals who have risen to the very top of their field.
Named a finalist in the Hult Prize Global Accelerator (social impact entrepreneurship competition).
Elected Honors Member of Phi Beta Kappa at Duke University.
First-place winner for the Connectivity Track at the DevDisrupt hackathon (SCB10X).
First-place winner for the Sustainability Track at Hack NC (UNC).
Recognized on Duke University's Dean's List with distinction.
Awarded Top in Thailand in Cambridge A Level Business Studies.
Key roles that defined the journey.
Senior engineer focused on applied AI for Ramp's fintech products β worked on merchant classification, receipt/intake automation, and AI-backed product features.
Undergraduate teaching assistant for COMPSCI 371D at Duke (listed on course contact page), supporting AI/CS coursework and labs.
Affiliations and memberships in prestigious organizations and communities.
Honors society membership at Duke University (selective academic honor).
Student organization participation related to applied ML and data science.
Campus organizations for regional engagement and interests.
Academic foundation and learning journey.
B.A. / Dual-major (Computer Science β AI/ML; Economics β Finance)
Undergraduate studies at Duke University; active in CS/AI coursework and campus organizations; graduated 2022.
Connect and explore.