Jackson Camp

Graduate student at Cornell Tech in NYC pursuing a master’s degree with a concentration in Machine Learning and Artificial Intelligence

Skills

Languages

Python, Java, JavaScript, SQL, GO, C++, C#

Frameworks

React, Flask, Express, Node.js, Git, PyTorch, TensorFlow, Docker, AWS, GCP< RESTful APIs

Concepts

Data Structures, Algorithms, OOP, Agile, Applied Machine Learning, Distributed Systems, Deep Learning, Computer Vision, NLP

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