About jeffry
With over 5 years of experience, I specialize in leveraging advanced AI and machine learning techniques to drive innovation and efficiency in business processes. As a Senior Data Scientist at Intuit, I am committed to transforming operational workflows, utilizing my expertise in large language models (LLMs), OCR, and automation to align with the company's mission to power prosperity worldwide. Through my role, I strive to contribute to a culture of continuous improvement and technological excellence by delivering cutting-edge solutions that save time and enhance accuracy. At Intuit, I lead AI-driven automation initiatives, including the development of intelligent document processing workflows that have optimized contract, expense, and invoice operations. These efforts have saved thousands of hours annually and achieved exceptional accuracy rates, earning recognition in the industry. I also spearhead innovative projects such as agentic retrieval-augmented generation (RAG) systems and AI-generated SLA reporting, empowering teams and stakeholders with actionable insights and streamlined processes. My work is rooted in collaboration, bridging gaps between technology and business to deliver impactful results.
Key Skills
Experience
Senior Data Scientist (prompt Engineer)
CurrentIntuit
* Led initiative to automate recurring employee expense submission (internet, mobile, etc.) Acted as temporary Project Manager while short-staffed: gathered requirements, ran team syncs, defined UAT and acceptance criteria. Presented initiative to C-Suite * automation launched and saves 12K+ hours annually Conducted tech feasibility studies * delivered API documentation and SME guidance on OCR, RAI, and metrics - Led 4 Global Engineering Day AI/ML projects: Commodity classification using SVM (RBF), ~80% accuracy, capturing distal class relationships RNN-based classifier improved accuracy to 92%+ * 97% top-5 accuracy for commodity prediction GenAI travel agent chatbot using agentic approach * converts natural language into flight search queries and recommends optimal itineraries Invoice matching engine combining LLM and logic gates * selected AWS Bedrock for accurate tabular OCR - Developed AI bot that processes financial analyst reports end-to-end: OCR via Google Document AI, key detail extraction with LLM, and summary generation using LLM - Frequently brought in as SME for AI/NLP/LLM initiatives * support architecture design and evaluation - Conduct tech screening for DS/ML candidates * provide feedback and hiring input - Perform ad-hoc DS projects (e.g. sentiment analysis) * translate findings into executive-friendly insights - Author white papers documenting approaches, evaluations, and results * several adopted as official project direction - Gather data and generate insights to guide decisions and gain org-wide alignment
Sourcing Solutions - Technology @ Intuit
Magnit Global
Spearheaded technology-driven solutions in Sourcing and Procurement as the primary architect; executed text mining on internal chat data, delivering insights through sentiment and trend analyses, and communicated findings via presentations to business partners. - Contributed to two Intuit Global Engineering Days (GED), accelerating projects through emerging technologies. - Led a GED project to develop a GenAI chatbot achieving 95% accuracy with GPT-3.5 and 100% with GPT-4; disseminated findings and stoked enthusiasm through comprehensive documentation and educational sessions. - Independently developed a Slack chatbot prototype in 2 months without prior experience, serving as a prototype to validate solution feasibility and secure project resources. - Collaborated with Technology for Intuit (T4I) during a GED to create a classification bot with 95% accuracy using GPT-4; work product serving as the foundational model for further T4I application development. - Led a month-long sprint to assess Sourcing’s business requirement of Contract Lifecycle Management (CLM). The resulting white paper was able to drive alignment and facilitate decision-making processes across various cross-functional teams.
Program Manager
* Engineered data and system infrastructure for Real Estate, Workplace Services, Global Security & Resilience Services (REWS + GSRS), streamlining contract management across portfolios. * Produced actionable reports to guide business and operational decision-making. * Orchestrated Agile-based integration between Google Workspace and Salesforce, reducing touchpoints by 67%, enhancing data integrity, and improving user experience. * Designed KPIs and QBR frameworks to optimize supplier relationships with top-tier Google partners. * Optimized contract databases and created SQL dashboards, enhancing end-to-end insight from supplier onboarding to invoicing. * Developed a data gap dashboard that informed technology roadmaps and spurred operational improvements.
Education
Syracuse University
Masters
Syracuse University
Masters
University Of Illinois Urbana - Champaign
Associates
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Common Questions
What is jeffry's expertise?
jeffry specializes in Prompt Engineer - San Francisco, with expertise in amazon web services, analysis, application programming interfaces, artificial intelligence, artificial neural networks.
Where is jeffry located?
jeffry is based in san jose, california, united states.
How much experience does jeffry have?
jeffry has 15+ years of professional experience.
How can I contact jeffry?
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