Hi, I'm

Andrew Tran.

Software Engineer & Applied AI

Building production-grade AI systems and full-stack applications across manufacturing, healthcare, and finance. 5+ years bridging engineering and product strategy.

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About Me

Results-driven Software Engineer and AI practitioner with 5+ years of experience delivering production-grade systems, machine learning models, and cross-functional technical solutions.

Proven track record leading engineering teams and AI-powered application development across manufacturing, healthcare, and finance domains. Combines deep technical expertise with business acumen (MBA + MS in Applied AI) to bridge engineering and product strategy.

5+ Years Experience
3 Industries
3 Degrees

Quick Info

  • 📍Fountain Valley, California
  • ✉️andrewtran6789@gmail.com
  • 📱(714) 494-5693
  • 🎓MS Applied AI (exp. 2026)
  • 💼Open to new opportunities

Technical Skills

💻 Languages

Python C++ C# JavaScript HTML / CSS SQL

🧩 Frameworks

Flask Django PyQt6 ASP.NET Bootstrap jQuery

🤖 AI / ML

PyTorch TensorFlow Transformers scikit-learn LangChain FAISS YOLO OpenAI API

☁️ Cloud & Tools

AWS Azure GitHub Jira SAP Tibco Spotfire

🧠 Concepts

LLM Agents RAG Computer Vision Time-Series ML CI/CD REST APIs System Design

Work Experience

Software Engineer

MKS, Inc. – Newport Corporation

Mar 2023 – Present Irvine, CA
  • Led development of Optical Traceability Web Application migrating legacy LabVIEW workflows into a unified Flask web app, eliminating manual barcode processes across 5+ production stations.
  • Engineered modular REST APIs (Flask, SQLAlchemy, Azure SQL) for sub-assembly, bonding, and alignment stations; proposed AI-based computer-vision inspection to replace manual traceability.
  • Built a Python–SAP integration using the pyrfc package and SAP NetWeaver RFC Library, streamlining enterprise data exchange and reducing manual data handling overhead.
  • Developed real-time Flask web dashboard for SAP business API data retrieval, improving cross-team data accessibility and project turnaround efficiency.
Python Flask Azure SQL SAP REST APIs Computer Vision

Software Verification Engineer Contract

Abbott

May 2022 – Feb 2023 Los Angeles, CA
  • Designed and implemented a comprehensive verification methodology for Abbott patient mobile applications, reducing defect escape rates by targeting critical failure points.
  • Developed and maintained automated unit test suites in C#, establishing robust testing protocols that improved software delivery quality and release confidence.
  • Led quality control inspections and redesigned test sequence workflows, introducing standardized protocols adopted across the QA team.
C# Unit Testing QA Mobile Apps Automation

Software Developer Startup

USI Technology LLC

Nov 2020 – May 2022 Houston, TX
  • Built data visualization and analytics applications using Tibco Spotfire Analyst with Python and IronPython-C# extensions, enabling actionable insights for client decision-making.
  • Designed and deployed a Python Flask API web service on AWS (EC2 + Lambda) supporting serverless architecture that scaled to meet growing client demand.
  • Applied machine learning techniques to customer data to deliver personalized user experiences, directly improving client satisfaction and product outcomes.
Python Flask AWS Machine Learning Tibco Spotfire

AI Projects

🤖 Team Lead

Investment Agent

ReAct-style autonomous investment research agent integrating OpenAI (GPT-4o) and Anthropic Claude APIs to evaluate multi-provider LLM performance on financial reasoning tasks.

  • Full agent loop: Reason → Act → Observe → Repeat with 5 function-calling tools (RSI, MACD, news sentiment, fundamentals)
  • Two-LLM architecture: stronger orchestrator + cost-efficient evaluator with cost-per-trace benchmarking
  • LLM-as-judge rubric scoring; backtested recommended portfolios against SPY over 3- and 12-month horizons
LangChain OpenAI API Claude API ReAct Python
📊 Team Lead

Earnings Analysis Agent

Autonomous AI financial analysis agent using LLM-based reasoning to aggregate, analyze, and interpret corporate earnings reports for investment decision support.

  • Sub-agent coordination with multi-step planning and iterative self-correction for improved reliability
  • Contextual retrieval (RAG) over financial documents with data validation and confidence scoring
  • Automated structured reporting with tables, metrics, and visualizations
OpenAI API RAG Multi-Agent Python
🏃 Team Lead

HAR & Predictive Monitoring

End-to-end Human Activity Recognition system on multi-sensor wearable data integrating classical ML and 1D CNN models for healthcare applications.

  • ~0.95 macro F1 and ~0.94 balanced accuracy on unseen subjects
  • Sliding-window feature pipeline with time/frequency domain representations
  • GroupKFold subject-level cross-validation to prevent data leakage
PyTorch 1D CNN scikit-learn Healthcare
🚦

Traffic Sign Detection

End-to-end object detection pipeline using Ultralytics YOLO on the Mapillary Traffic Sign Dataset, optimized for edge deployment with real-time inference benchmarking.

  • Targeting embedded GPU hardware for real-time edge inference
  • Full pipeline from data prep to model export and benchmarking
  • Mapillary Traffic Sign Dataset with diverse real-world conditions
YOLO Computer Vision Edge AI PyTorch
🏥

Stroke Prediction Model

Full ML pipeline from data acquisition and preprocessing to model training with ensemble methods, achieving 90%+ accuracy for clinical stroke risk prediction.

  • 90%+ accuracy across Logistic Regression, Random Forest, SVM, and Gradient Boosting
  • Stratified k-fold cross-validation for robust evaluation
  • Complete pipeline: EDA, preprocessing, feature engineering, model comparison
scikit-learn Python ML Pipeline Healthcare

Education

🎓

Master of Science, Applied AI

University of San Diego

San Diego, CA

Expected Dec 2026
💼

Master of Business Administration (MBA)

Texas A&M University – Corpus Christi

Corpus Christi, TX

2023 – 2025
💻

B.S. Computer Science

University of Houston

Houston, TX

2018 – 2020

Minor: Mathematical Statistics

Get In Touch

I'm currently open to new opportunities. Whether you have a question, a project idea, or just want to say hello — feel free to reach out!

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