Stephen Iezzi Email & Phone Number

Atlanta, GA, US

• Joined the final stage of a year-long project to develop an LLM-powered chatbot for Harvard Business Review, leveraging their extensive content archive to deliver accurate responses on leadership and management topics..
• Developed a robust intent classification system to accurately identify user intent, enhancing the chatbot's contextual understanding and accuracy by handling certain user query intents differently.
• Implemented a multilingual support system, enabling the application to serve a broader, diverse audience by recognizing and processing inputs in multiple languages.
• Collaborated on evaluation metrics with HBP’s editorial and product teams to ensure brand-safe, high-quality output through structured testing and red-teaming exercises.
• Developed key features of the chatbot that are now actively used by HBR subscribers, a portion of HBR.org’s nearly 10 million monthly users, to access high-quality, on-demand responses to leadership and management.

During my last role, I had the opportunity to transition to a remote consulting role, which allowed me to realize how much I didn't know about all the other parts of the world outside of the northern New Jersey bubble I call home.After that contract ended I decided that now is as good a time as ever to travel while I am still young before getting into a.

Atlanta, GA, US

• As a Machine Learning Engineer on a small, dynamic team, I played a key role in architecting and implementing a system of classifiers that integrated computer vision, NLP, and audio processing to enhance media pipeline.
• Automated 30% of the ad placement pipeline for new video content, resulting in streamlined processes and improved resource allocation.
• Leveraged Python, Pandas, and AWS SageMaker to process terabytes of data, reducing data processing time by 16%.
• Generated technical reports for stakeholders, translating complex data insights into actionable business decisions, improving strategic planning and operational efficiency.
• Partnered closely with the client throughout each phase of the project, from gathering requirements and conducting research to managing data, designing and implementing solutions, and evaluating business outcomes.

Columbus, Ohio, US

• As a Data Scientist on airport security contracts, I was tasked with various projects related to airport screening systems.Highlights:
• Developed a Generative Adversarial Network (GAN) in PyTorch to expand high-quality training data by 50%, improving a system that screens 15 million pounds of cargo daily and reducing costs by 22%.
• Enhanced an airport screening tool by refining feature embedding similarity with GAN models in PyTorch and NumPy, resulting in an 18% cost reduction.
• Led development of a MongoDB x-ray image database, creating a prototype for synthetic training datasets with potential cost savings of over $0.5M by reducing manual dataset construction.
• Supervised intellectual property disclosures from team research, highlighting innovative contributions to airport security technology.

Newark, NJ, US

• As a Teaching Assistant, I provided students with one-on-one tutoring on Python programming concepts to improve understanding and mastery.Highlights:
• Developed key aspects of course structure, ensuring a clear, consistent framework for learning.
• Graded assignments and proctored exams, maintaining high standards of academic integrity and feedback.
• Communicated daily with students via Canvas and email to address questions, provide support, and reinforce core concepts, leading to increased student engagement and success.

Pullman/Spokane/Tri-Cities/Vancouver/Everett/Global, Washington, US

Implemented a DNA classification system, achieving nearly 50% reduction in error rates by leading the development of convolutional neural networks (CNNs) in Keras on imbalanced data sets by leveraging an HPC cluster using SlurmLed presentation showcasing research outcomes highlighting the most impactful findings for subject matter experts

Newark, NJ, US

Research assistant under the supervision of Dr. James Geller, Dr. Hai Phan, and Dr. Soon Ae Chun using deep learning models to develop a computational system to monitor and detect drug abuse in tweets collected across Twitter.Used the python scikit-learn library’s text feature extraction tools to develop a preliminary drug abuse detection model which.

Efficiently cleaned and organized tables as needed while simultaneously managing other needs of the servers in a time effective manner.Monitored guests area and responded to requests or cleaning needs promptly.Maintained cleanliness in the dining area by cleaning tables, sweeping the floor, and removing the trash.

Performed food preparation duties such as preparing salads, appetizers, and cold dishes, portioning dishes and brewing coffee.Succeeded and thrived in the fast paced and high stress work environment.Built and maintained relationships with regular customers by listening to their needs and remembering their preferences.Responsible for keeping an organized.

Trained new bussers on managing the floor in order to effectively handle busy shifts.Assisted waiters in the preparation and delivery of food in a timely manner.Respectfully interacted with customers and proficiently responded to their wants and needs immediately.Assisted the kitchen staff in preparing food for the upcoming shift.