Anthony Chen - Resume

Education

EXPERIENCE

Abbvie | Project Engineer Co-op | Python, LLM, SDLC, Workflow Automation

• AI-Driven Workflow Orchestration: Engineered a Python-based automation suite utilizing Large Language Models (LLMs) to dynamically map and mobilize cross-functional stakeholder networks; reduced manual scheduling overhead across multiple organizational webs.
• Generative Systems Design: Architected an LLM-powered engine that autonomously synthesizes complex validation documentation and identifies optimal meeting synchronization points based on multi-party availability and project urgency.
• Heuristic & Network Inference: Developed logic to infer "impacted group" networks by analyzing organizational data, enabling the system to automatically identify and invite essential technical personnel for product validation tasks.
• Adaptive Feedback Loops: Built a user-input interface to refine AI inference models, allowing for real-time updates to stakeholder networks as organizational structures or project requirements evolved.

GD Electric Boat | Mechanical Engineer Co-op | Mathcad, Teamcenter PLM, Algorithmic Modeling

• Algorithm Development & Stress Modeling: Developed a complex Mathcad algorithm to automate the validation of structural components; engineered logic to process manufacturing defects and impact variables against design-spec loading simulations.
• Data-Driven Decision Support: Integrated dimensional data from hardware inspections into simulation workflows to determine part viability, reducing manual engineering review time through automated calculation scripts.
• Lifecycle Data Management: Utilized Siemens Teamcenter (PLM) to analyze thermal stresses and structural integrity, ensuring digital twins and design drawings maintained 100% compliance with NAVSEA technical standards.
• Technical Communication: Authored executive summaries and technical briefs to translate complex simulation results into actionable business decisions for senior leadership and federal clients.

Pitney Bowes | Mechanical Design Engineer Intern | C++, FFT, LLM, Signal Processing, Firmware

• High-Performance C++ Development: Engineered an end-to-end signal processing application in C++ to perform Fast Fourier Transforms (FFT) and spectral analysis on acoustic data; projected to save the company $5M annually through predictive maintenance.
• AI-Enhanced Psychoacoustics: Architected a software suite to automate "loudness" quantification and pitch categorization; integrated LLMs to perform heuristic inference on frequency groupings to simulate human auditory perception.
• Data-Driven Product Validation: Developed automated data collection pipelines to evaluate the efficacy of sound-dampening materials, translating raw sensor data into actionable Quality Engineering reports.
• Firmware & Hardware Optimization: Conducted full-stack troubleshooting of 3D printing infrastructure (Prusa, Modix), implementing software and hardware firmware updates to ensure high-uptime production environments.

PROJECTS

ach3n.com | Full-Stack, Portfolio Hub, Git

• Architected a personal portfolio site to serve as a central hub for engineering projects, technical documentation, and interactive demos of AI-driven automation tools.
• Optimized site performance and cross-platform responsiveness using modern web standards, ensuring seamless navigation for technical recruiters.

Entropy | Python, Git, Heuristics, Self-Healing Data QA

• Developed an automated "Inspector" system to audit synthetic populations via a self-healing cycle, detecting logic contradictions and generating corrective patches autonomously.
• Engineered heuristic models to enforce real-world mathematical patterns on generated datasets, preventing distribution errors in simulated environments.

Hypersonic Waverider Simulation Engine | Python, CFD, Numerical Modeling

• Engineered a high-fidelity physics engine in Python to simulate Mach 5 flight trajectories; implemented NASA atmospheric models to dynamically update temperature and pressure variables at 0.05s intervals.
• Programmed numerical solvers for Oblique Shock Theory to calculate instantaneous Lift/Drag coefficients, simulating "shockwave surfing" mechanics under hypersonic conditions.
• Developed a "Smart Glide" optimization algorithm to autonomously adjust vehicle pitch during subsonic transitions, maximizing downrange distance through iterative "what-if" scenario testing.

Autonomous Self Driving | Python, Linear Algebra, Computer Vision

• Programmed miniature quadcopter drone with self-regulation for obstacle identification using Linear Algebra and Gaussian methods for edge detection in image analysis.