Jackson Camp
Graduate student at Cornell Tech in NYC pursuing a master’s degree with a concentration in Machine Learning and Artificial Intelligence
Projects
Experience
PatternAI
Machine Learning Intern
May 2024 - August 2024
Developed a scalable ML pipeline in Python on Google Cloud Platform to extract complex lease data from PDFs
with LLMs, reducing manual processing time by 99%
Fine-tuned Llama3.1-8B model using transfer learning and low-rank adaptation (LoRA) for meeting action item
extraction from meeting transcripts, achieving a 20% ROUGE-2 F1 score improvement while reducing overall costs
Implemented a FAISS-based verification system for semantic similarity checks between source documents and model
outputs in lease abstraction, reducing hallucinations by 15% and enhancing factual consistency
Cornell University
CS 4700 Artificial Intelligence Teacher's Assistant
August 2023 - December 2023
Conducted weekly office hours to reinforce AI and ML concepts, graded 700+ assignments, and provided tailored explanations to support students’ understanding of complex Machine Learning and Artificial Intelligence material
Morgan Stanley
Software Engineering Intern
June 2023 - August 2023
Led development of an incident report generator during the MS Generative AI hackathon, using custom embeddings of internal wikis and incident data for context-based retrieval in automated report generation with LLMs
Engineered a real-time cybersecurity status dashboard with Flask, Python, SQLAlchemy, and React; utilized data analytics to proactively monitor and report cyber threats, significantly reducing incident response time
Built a Flask REST API for a multi-tiered system that processes 100+ daily incidents and enhances data integration
Engineered database performance improvements with SQL query optimization and SQLite caching, reducing query times by 40% and enabling near-instant access to results
Integrated GPT-4 for automated cyber incident reports, greatly reducing report generation time to near-instant
Headstarter
Software Engineering Fellow
June 2022 - August 2022
Built 4 web apps using React and JavaScript for frontend, with AWS, Express, and Firebase, for backend
Designed serverless APIs using AWS Lambda with 99% uptime and real-time DynamoDB data entry tables
Managed projects from design to deployment, leading 5 fellows using Agile, CI/CD, and Microservice patterns
CreditQuant AI
Founding/Lead Engineer
January 2025 - May 2025
Developed and deployed AI credit-risk platform. Winner of Cornell Tech’s Spring 2025 Startup Award ($100K prize)
Built scalable serverless pipeline (S3, Lambda, Textract, API Gateway) to convert 1K+ docs/day into structured
credit-risk reports, saving 95% manual effort with 99.9% uptime
Sabuncu Lab, Cornell University
Graduate Machine Learning Researcher
August 2024 - December 2024
Built multi-modal deep learning models with nnUNet in PyTorch for medical imaging, boosting diagnostic accuracy
Developed a scalable, modular framework with 140+ segmentation models that generates Python code for automated
segmentation (e.g., lesion boundary detection) across diverse scan types (MRI, ultrasound, pathology)
Education
Cornell University, Cornell Tech — New York City, New York
Master of Engineering in Computer Science — August 2024 - May 2025
Merit Scholarship
Relevant Courses:
- Statistical Principles for Data Science
- Security & Privacy in the Wild
- Machine Learning Engineering
- Deep Learning
- Building Startup Systems
- Blockchains & Cryptocurrencies
- Deep AI: Data, Compute, Algorithms
- Practical Introduction to Security & Privacy
Cornell University, Bowers College — Ithaca, New York
Bachelor of Arts, Computer Science — August 2021 - May 2024
Activities and societies: Cornell Rugby, Cornell webdev, Association of Computer Science Undergraduates
Relevant Courses:
- Advanced Machine Learning Systems CS 6787
- Deep Learning CS 4782
- Machine Learning CS 4780
- Artificial Intelligence CS 4700
- Natural Language Processing CS 4740
- Computer Networks CS 4450
- Analysis of Algorithms CS 4820
- Practical Tools for ORIE, ML and Data Science ORIE 3120
- Object-Oriented Programming & Data Structures CS 2110
- Discrete Mathematics CS 2800
- Operating Systems CS 4410
- Data Structures and Functional Programming CS 3110
- Data-Driven Web Apps INFO 3300
- Intro to Blockchain CS 1998
- Trends in Modern Web Development INFO 1998
- Linear Algebra MATH 2210
- Computer System Organization & Programming CS 3410
- Probability Models and Inference BTRY 3080