Cory Morgan

AWS Certified Solutions Architect – Associate

New York City, NY | cmorgan3324@gmail.com

GitHub | LinkedIn

Summary

Certified AWS Solutions Architect with a fullstack background and AI/ML expertise. Experienced in deploying scalable cloud infrastructures, building intelligent applications, and leading cross-functional teams in fast-paced environments.

Technical Skills

Languages: Python, JavaScript, TypeScript, SQL

Web/Tools: Node.js, React, Express, PostgreSQL, Docker, Git, GitHub

AI/ML: AWS SageMaker, Gemma LLM, TensorFlow, PyTorch, Hugging Face, YOLO, OpenCV

Data Science: NumPy, PIL, Pandas, Matplotlib, Seaborn, Data Pipelines, Data Modeling, ETL

Cloud: Terraform, AWS (Lambda, S3, DynamoDB, API Gateway, Route 53, CloudFront, IAM, CloudWatch)

Certifications

Projects

AWS Cloud Resume Challenge

  • Deployed a personal resume site using AWS S3, CloudFront, Route 53, Lambda, and DynamoDB.
  • Provisioned infrastructure with Terraform and added a serverless visitor counter.
  • Integrated GitHub Actions CI/CD and CloudWatch alarms with Slack notifications.

AI-Powered Semantic FAQ Search Platform

  • Built a secure, cost‐efficient AWS stack with Terraform: provisioned a VPC, EC2 instance, S3 bucket and IAM roles to host Weaviate and Streamlit.
  • Developed hybrid BM25 + vector search with Weaviate and OpenAI embeddings.
  • Deployed EC2-hosted semantic search frontend with Docker and ECR pipelines.

Semantic Image Segmentation Model

  • Developed a scalable semantic segmentation pipeline and real-time endpoint using Amazon SageMaker.
  • Processed and augmented image data with Python (PIL, NumPy, Matplotlib) for training.
  • Trained and optimized models using SageMaker algorithms and custom scripts for high accuracy.

Video Instance Segmentation Model

  • Engineered a YOLOv8-based video instance segmentation model on TPU for real-time vehicle detection and tracking, exporting to ONNX for optimized GPU inference.
  • Boosted accuracy with advanced OpenCV augmentations and a custom preprocessing, annotation, and fine-tuning pipeline.
  • Delivered scalable, low-latency cloud- and container-ready deployment for autonomous systems and surveillance analytics.

Monarch: AI-Powered Personal Finance App

  • Developed backend for AI-driven finance app using Node, Express, and PostgreSQL, optimizing data flow and storage.
  • Integrated OpenAI chatbot for personalized investment advice, boosting user engagement.
  • Delivered features in Agile sprints with CI/CD, ensuring continuous improvements and code quality.

Experience

AI Engineering Fellow – KaggleX

Aug 2024 – Dec 2024 | Remote

  • Developed and fine-tuned an AI medical chatbot using Gemma LLM and TensorFlow.
  • Applied prompt engineering and optimized model pipelines for accuracy and performance.

Lead Care Coordinator – Spear Physical Therapy

Jun 2023 – Present | Brooklyn, NY

  • Led patient coordination and streamlined front desk workflows in a busy healthcare clinic.
  • Enhanced service delivery and operational efficiency across multiple departments.

Software Engineering Student – Thinkful, Chegg Skills Inc.

Apr 2023 – Oct 2023 | Remote

  • Completed intensive fullstack development curriculum.
  • Built mobile-first web apps with mentorship and agile feedback loops.

Education

Rochester Institute of Technology – B.S. in Business Management & Marketing