Matthew Schultz Email & Phone Number

Philadelphia, PA, US

As part of the Rapid Development Studio team, I am working on the design and development of sophisticated machine learning models and algorithms tailored to optimize diverse facets of Fortrea's operations, including clinical trial optimization, predictive analytics, and personalized healthcare solutions.

• Unified the engineering teams (45+) developing data, machine learning, webapps and cloud solutions.
• Worked with CPO and team to grow a new offering to $80M with new org design, strategy, architecture and KPI / data-driven processes. Coached team to improvements which led to more reliable software (10x) with decreased.

• Built and led global data engineering and data science teams (20+) building tools to deliver actionable insights to clients. Collaborated with technical teams to translate opportunities into product features.
• Collaborated with VPs to launch AI / semantic search solution which significantly improved customer experience. Architected scalable vector APIs, structured databases to match queries with contextual matches in.
• Launched a 0-to-1 SaaS data product, transforming a $20M data business for the SVP Data. Collaborated on a product roadmap, usability studies and competitive analysis to deliver a data platform which powered.
• Drove AI/ML adoption across the organization: Worked with platform teams to build MLOps infrastructure, improved data operations using inference models learn metadata and mentored hackathon leaders to build new.

Partnered with sales and product executives to build new tools, processes and product ideas (AI, Salesforce).

Developed and presented automated data reports for senior leaders at Fortune 500 orgs (C#, SQL)

Engineered data analytics software to automate data-informed marketing workflows (C#, SQL).

Created a beta product to help contractors find, bid and win government contracts. Built search engine, user experience and tested with customers.

Developed statistical software for clinical A/B experiments and probabilistic simulations for finance (C++, R).

Published original academic machine learning algorithms for NLP data (NeurIPS, KDD Cup).

Verity Inc

In partnership with scientists at Exelixis, led development of machine learning models to extract information biomedical research which won honorable mention in that year’s KDD Cup.

Worked as part of a team that was awarded 7 US Patents in data analysis, social networking and knowledge management.

Developed new open source AI algorithms for computer security and was awarded a US Patent and Best Paper at USENIX-FREENIX.

Master Of Science - Ms, Computer Science

PhD student on University Fellowship, Published at NeurIPs 2003, Honorable mention KDD Cup 2002 (Information Extraction from Biomedical.

Bachelor Of Arts - Ba, Computer Science

Best Student Paper, USENIX-FREENIX, published at IEEE Security 2001 Russell C Mills Award for Excellence in Computer Science Men's.