Resume

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Jack Nathan

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GitHub | LinkedIn | jacknathan.net

Education

Clemson University, Clemson, SC
Bachelor of Science in Mechanical Engineering
Second Semester Sophomore
May 2029
GPA: 3.36

Technical Skills

Programming Python, SQL, MATLAB, C/C++
Autonomy & Robotics DroneKit, ArduPilot, Pixhawk 2.4.8, MAVLink, waypoint & coverage path planning, camera geometry, state estimation, GNC fundamentals
AI & Perception YOLOv8, OpenCV, Roboflow, camera calibration, LLM orchestration, embeddings & vector search, RAG systems, TensorFlow
Hardware & Design Arduino, sensor integration, power management, I2C/SPI/UART, soldering, hardware debugging, Fusion 360, SolidWorks, GD&T, tolerance analysis, 3D printing, laser cutting
Software & Tools SQLite, n8n automation, Git/GitHub, Docker, REST APIs, OpenAI API

Professional Experience

Computer Vision & Autonomy Intern
Edge Drone Services
Summer 2025
Python, YOLOv8, OpenCV, Roboflow, Camera Geometry, LLM Scoring
  • Trained YOLOv8 computer vision models on ~4,500 labeled and augmented aerial images to detect silt fences and classify structural damage
  • Implemented camera projection and ground-intersection models using altitude, FOV, gimbal geometry, and pixel ray tracing to estimate object distance and geolocation
  • Designed an ML-assisted severity scoring pipeline combining vision outputs with LLM reasoning to prioritize damage for automated inspection reports

Engineering Projects

Autonomous Drone Search & Recovery Planning Platform
Python, PyQt6, DroneKit, MAVLink, ArduPilot, Pixhawk, SQLite
  • Designed and built a desktop mission-planning and control system for autonomous UAV search-and-rescue operations
  • Implemented grid and spiral coverage algorithms with waypoint spacing computed from camera FOV, altitude, and user-defined front/side overlap
  • Developed real-time MAVLink telemetry processing (position, velocity, attitude, battery, flight mode), programmatic mission upload via DroneKit, and integrated SQLite mission database, SITL testing, and real-time map visualization
Embedded Bicycle Safety & Signaling System
Capstone Project
Arduino, Fusion 360, 3D Printing, Laser Cutting, Sensors
  • Led mechanical and embedded design of a brake-activated and turn-signal safety system with laser and LED projection
  • Designed enclosures and mounts in CAD, fabricated via 3D printing and laser cutting, and integrated sensors, power, and firmware
  • Programmed Arduino control logic and performed full system-level assembly and validation of an electromechanical prototype
Large-Scale Cross-Reference Graph & Ranking Engine
Open Source
Python, Data Processing, Graph Analytics
  • Built a ranking system over a 344k-node reference network using frequency-based weighting and JSON pipelines
Enterprise Retrieval-Augmented Generation (RAG) System
Python, n8n, OpenAI API, Vector Search, Slack, SharePoint
  • Deployed a production RAG pipeline indexing company documents and call transcripts with automated ingestion, chunking, vector storage, and LLM retrieval through Slack and chat interfaces, saving ~5–8 hours/week of manual search time

Leadership & Honors