Ben Cullen Email & Phone Number

New York, Ny, Us

Wilmington, North Carolina, United States

- Developing upcoming features for nCino's AI Assistant, Banking Advisor, to enhance banker efficiency as intern on Generative AI Platform team- Optimized Databricks resources and increased dataset accessibility as intern on Data Platform team

Mexico City, Mexico

- Developed I.A.N., an AI phone platform that cut referral verification time by 80% using Python, AWS, and ML models for real-time conversation and data collection- Boosted income classification accuracy to 92% using optics-based clustering and scikit-learn, and conducted exploratory implementation of XGBoost with Bayesian hyperparameter search- Presented to 21 product managers and developers on leveraging AI tools to enhance productivity and integrate new AI advances across language, audio, and vision into products

Provo, Utah, United States

- Enhanced layout analysis model accuracy from 86% to 99% for a large census dataset, reducing mislabeled documents from an estimated 140,000 to 100 per million using image transformers.- Developed a system to scale our layout analysis models, capable of processing dozens of documents in parallel and extracting over a billion data points using Python and SQL. This processes documents approximately 64x faster and saves an estimated $624,000 compared to manual methods.- Automated dataset creation workflow, reducing the time to create new training datasets from multiple days to approximately 24 hours.

Provo, Utah, United States

- Crafted an onboarding experience that collects 160+ data points with 4 API integration in under 10 minutes using Typescript and React.js (Next.js)- Ensured HIPAA compliance by deploying the platform to a secure hosting configuration and CI/CD pipeline on Google Cloud Platform using Terraform- Reduced load times by up to 3x for various front-end components through the implementation of asynchronous loading strategies

Provo, Utah, United States

Took company from no software to a pilot with the 6th largest pest control company in the nation within 5 months while doing school full time. This involved developing a cross-platform mobile app using Flutter, a web dashboard using React.js, firmware using C, and a backend using SQL and Node.js.Also played a role in some key moments for the company such as designing a go to market strategy, optimizing the company's pricing model, and pitching angel investors.

Lehi, Utah, United States

- Accelerated software integration development by 2x (expected) through creation of an internal prioritization tool and revamped integration strategy- Identified top 6 new market options by developing a proprietary ranking methodology and extensively researching 23 potential verticals- Analyzed potential countries for expansion, selecting one and devising a comprehensive plan addressing legal, sales, product, marketing, and technology aspects

Provo, Utah, United States

- Surveyed or interviewed 3000+ individuals to develop various outdoor products including smart water sensors, an AI powered smart sprinkler, and a cloud connected anti-theft trail camera- Coordinated engineering efforts with mechanical, electrical, and design leads to construct functional anti-theft trail camera system- Developed a functional iOS app for a robotic basketball hoop prototype in only 1 weekThe Crocker Innovation Fellowship is a selective, year long program in innovation and entrepreneurship. I worked with an interdisciplinary team of business and engineering students to develop physical technology products in the outdoor/recreation space.

Sandy, Utah, United States

- Enabled expansion into the photo editing market by extending system’s front and back ends to support new product offerings using JavaScript and Java- Increased worker reliability and trust by creating an automated reminder texts system using Twilio and Java- Collaborated with customer service and success teams to resolve 12+ previously unsolved technical issues

Provo, Utah, United States

Coauthored academic paper published at AAAI-22 Conference (15% acceptance rate) on improving the quality of AI text generation by up to 1.9x using knowledge graphs

Reston, Virginia, United States

- Constructed AI powered object recognition system with 90% accuracy on custom objects- Improved performance of company’s flagship mobile game by 70% through code optimization- Trained newer interns on software engineering and mobile development skills- Created the 3D level generation system for company’s newest game for iOS

Reston, Virginia, United States

- Developed cross-platform geolocation game for iOS

Bachelor'S Degree, Computer Science: Data Science Emphasis

- GPA 3.98/4.0 - 4x Dean's List (top 5% of class) - Coauthored LLM research paper published at AAAI (15% acceptance) - Crocker Fellow.

Minor, Business Strategy