A leader making data-driven decisions while constantly iterating on the product. Currently shaping AI-powered applications and data infrastructure at Kensho Technologies, an S&P Global company.
Get in touchMy background includes a BFA in Graphic Design from Boston University, paired with a Software Engineering intensive from General Assembly. I'm currently pursuing my Master of Engineering in Computer Science part-time at Cornell Tech, deepening my expertise in machine learning, NLP, product development, and business.
I bring over a decade of experience building and scaling web platforms — from leading brand relaunches at Condé Nast to managing AI-powered product development at Kensho Technologies (S&P Global). I believe the best products emerge when engineering craft meets genuine empathy for the people using them.
From media and consumer tech to financial intelligence and AI.
Full-stack engineering, cloud infrastructure, data pipelines, AI integration, and product strategy.
A few notable projects and accomplishments from across my career.
Led performance optimizations that improved start render by 467% and speed index by 133%, setting new standards across the Condé Nast organization and directly impacting user experience and SEO.
Scaling Kensho's end-to-end unstructured data platform, powering agentic retrieval and semantic search across S&P Global's products through a multi-stage pipeline of extraction, entity enrichment, embedding, and multi-agent retrieval.
Launched an internal chatbot powered by a Django API with LLM-backed document search and financial Q&A, now serving 2 S&P Global divisions and transforming how teams access institutional knowledge.
Pioneered the replacement of 23 separate brand codebases with a singular, shared, customizable product — revolutionizing how Condé Nast builds and ships digital experiences across its entire portfolio.