About

“I’m a data scientist and AI developer with a background in computer science and experience building applied AI, analytics, and workflow tools. My work includes conversational healthcare AI, semantic search, predictive modeling, and interactive applications. I focus on turning technical ideas into usable systems while keeping evaluation, privacy, and human oversight in view.”

Education

B.S. in Data Science

Wentworth Institute of Technology

Degree requirements completed; official conferral August 2026

A.S. in Computer Science

MassBay Community College

May 2024

Experience

A selection of professional, technical, and applied learning experiences that shaped how I build and communicate data and AI solutions.

AI Agent Development Intern

HMH

–Present

  • Contribute to the development and testing of AI-assisted agents, workflow tools, and internal prototypes.
  • Work with Python, SQL, APIs, prompt design, and LLM-based components to support practical business workflows.
  • Collaborate with product, operations, architecture, data, and engineering stakeholders.

Data Analytics Consultant, Part-Time

Liam’s Market

  • Built recurring sales and inventory reporting workflows using Excel.
  • Developed dashboards to identify sales patterns, inventory movement, and restocking needs.
  • Communicated findings to support operational and purchasing decisions.

Intro to Technical Interview Prep Participant

CodePath

  • Completed structured technical interview preparation focused on algorithms, data structures, and problem-solving.
  • Practiced implementing and explaining Python solutions.
  • Strengthened technical communication and solution-review skills.

Build Project Contributor

The Build Fellowship by Open Avenues

  • Contributed to a semantic job-title embedding project using synthetic training data and sentence-transformer fine-tuning.
  • Completed verified work on the Streamlit application and development environment.
  • Earned the Build Project credential led by James Alner.

Credentials

Selected programs and certifications supporting my work across applied AI, data analysis, responsible technology, and business intelligence.

Applied Programs

Team-based and structured programs with practical project work.

Build Project

Fine-Tune a Job Title Embedding Model Using Synthetic Training Data

The Build Fellowship by Open Avenues

Issued

Completed a team-based project focused on synthetic data, sentence-transformer fine-tuning, and application delivery.

View Credential

Technical Program

Intro to Technical Interview Prep

CodePath

Issued

Completed structured technical interview preparation focused on algorithms, problem-solving, and technical communication.

Certificate ID: 131475

View Credential

Supporting Credentials

Focused coursework strengthening specific tools and responsible practices.

Course Certificate

Data Analysis with Python and Pandas

LinkedIn Learning

Issued

Skills: Python, pandas, data analysis

View Credential

Course Certificate

Foundations of Responsible AI

LinkedIn Learning

Issued

Skills: Responsible AI, AI governance foundations

View Credential

Course Certificate

Power BI Data Methods

LinkedIn Learning

Issued

Skills: Power BI, data-analysis methods

View Credential

Technical Skills

Technologies and methods I use across applied AI, data science, analytics, and application development.

AI & NLP

  • Azure OpenAI
  • LLM APIs
  • Prompt Engineering
  • Sentence Transformers / SBERT
  • Vector Embeddings
  • Responsible AI

Data Science & Machine Learning

  • Python
  • Pandas
  • Scikit-learn
  • Predictive Modeling
  • Regression
  • Clustering
  • Exploratory Data Analysis
  • Statistical Testing

Analytics & Data Tools

  • SQL / MySQL
  • R / Tidyverse
  • Power BI
  • Tableau
  • Excel
  • Data Visualization

Application & Engineering Tools

  • Streamlit
  • FastAPI
  • REST APIs
  • Webhooks
  • Git
  • Jupyter
  • DVCProject Exposure

Research & Publications

Research connecting conversational AI, structured workflows, and human oversight.

Submitted, Accepted, and Presented at HSI 2026

AI-Assisted Voice Intake and Triage System

Authors: Patrick Keufack, Penelope Lopez, Damian Archer, Yetunde Folajimi, Salem Othman, and Leonidas Deligiannidis.

Presented online on July 17, 2026, as part of the HSI 2026 conference hosted in Sarajevo, Bosnia and Herzegovina.

ClearPath Health explores how a protocol-constrained conversational AI system can collect patient-reported information, structure intake data, and support emergency, same-day urgent, and non-urgent routing while preserving human oversight.

Evaluation: The prototype was evaluated through a controlled pilot involving 12 simulated patient-call scenarios.

Limitation: The results demonstrate proof-of-concept feasibility and should not be interpreted as clinical validation.

Human oversight: The system was designed to support intake and routing while keeping clinical decisions under human supervision.

Conference
HSI 2026
Presentation format
Online
Presentation date
July 17, 2026
Conference location
Sarajevo, Bosnia and Herzegovina
Research type
Proof-of-concept study

Featured Projects

Selected work across conversational AI, semantic search, predictive modeling, and applied data analysis.

Team Project

ClearPath Health

AI-assisted voice intake and triage prototype that structures simulated patient reports and routes them through a three-tier, human-in-the-loop workflow.

Contribution: Co-developed the prototype and co-authored the associated research paper in collaboration with a Wentworth team and Outer Cape Health Services.

  • Python
  • FastAPI
  • Azure OpenAI
  • Vapi
  • Streamlit
  • SQLite
  • Webhooks

Build Fellowship Project / Contributor

Semantic Job-Title Embedding

Semantic search project using synthetic job-title data and sentence-transformer fine-tuning to improve retrieval and grouping of non-standard job titles.

Contribution: Contributed to the project with verified work on the Streamlit application and development environment.

  • Python
  • SBERT
  • Sentence Transformers
  • Embeddings
  • Synthetic Data
  • Streamlit

Individual Academic Project

Student Exam Performance Prediction

Regression project exploring how demographic and academic factors relate to student mathematics performance.

Contribution: Prepared the dataset, developed regression models, and evaluated which available features were most associated with mathematics scores.

  • Python
  • Jupyter Notebook
  • Regression
  • Data Preparation
  • Model Evaluation

Individual Data Science Project

Boston Housing Price Analysis

Exploratory and predictive analysis of housing-price factors across Boston-area datasets.

Contribution: Cleaned and analyzed multiple datasets, developed visualizations, and used regression to evaluate relationships among property, socioeconomic, and location-related features.

  • Python
  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • Regression

Let’s Connect

Interested in applied data science, AI development, or human-centered technology work? Send a message through the contact form or connect with me on LinkedIn or GitHub.

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