Accomplished Senior Python Developer

Eddie Wan

Parkland, FL 214-***-**** ******@*****.***

Senior Python Developer AI/ML Solutions, Cloud Architecture & Full-Stack Development SUMMARY

Accomplished Senior Python Developer with over 15 years of experience in building scalable systems across Python, Java, TypeScript, NodeJS, and C++. Specializing in AI-driven solutions and machine learning models, including LLM and LLM APIs integration. Proficient in Django for web development, React, Angular, and working with SQL or NoSQL

(DynamoDB and MongoDB) databases. Adept at designing cloud-based architectures and ensuring efficient application performance using AWS. Experienced in modern DevOps practices (CI/CD), including containerization (Docker) and version control (GIT) to enhance deployment workflows and maintain high-quality, production-ready applications. Proficient in using popular machine learning libraries, including scikit-learn, PyTorch, TensorFlow, and XGBoost, for developing end-to-end AI/ML solutions. RECENT EXPERIENCE

Senior Python Developer & AI/ML Engineer

Remote / Parkland, FL 2020 – Present

- Designed and developed cloud-based applications leveraging AWS (EC2, Lambda, S3) to ensure scalability and performance for AI/ML solutions.

- Built and deployed AI-powered solutions using PyTorch, TensorFlow, and OpenAI API for predictive analytics and NLP applications.

- Developed and optimized full-stack applications with Django, TypeScript, React, NodeJS, and Python, integrating AI models and web interfaces for seamless functionality.

- Integrated NoSQL databases (e.g., MongoDB, AWS DynamoDB) into applications to handle unstructured data efficiently.

- Collaborated on the development and deployment of AI solutions with emphasis on scalability and maintainability, employing modern cloud architectures.

- Utilized scikit-learn for building regression models and classification pipelines, ensuring efficient data preprocessing and model evaluation.

- Integrated ML models into production environments with Docker and AWS, ensuring smooth deployment and high availability.

- Developed and optimized client-side applications using React and Angular to create interactive, responsive web UIs, enhancing user engagement.

- Applied TypeScript for building scalable and type-safe front-end applications, improving code maintainability and reducing runtime errors.

Quantitative & AI Developer

Remote 2015 – 2020

- Created and fine-tuned machine learning models for predictive analytics and NLP tasks, using Python and Java for algorithmic trading and risk management.

- Worked with cloud infrastructure (primarily AWS) to deploy models and integrate with real-time analytics platforms.

- Streamlined development workflows by integrating version control and containerization for smooth model deployment and updates.

- Leveraged XGBoost, LightGBM, and scikit-learn for implementing powerful ensemble learning algorithms for financial predictions.

PROJECT HIGHLIGHTS

AI Financial Assistant

Developed a GenAI tool using OpenAI API, deployed with Flask, providing automated market insights and decision-making support.

ETF Strategy Model

Implemented an AI-driven trading strategy using LightGBM, deployed to cloud infrastructure for high-performance execution.

NLP Market Sentiment Analysis

Built a sentiment analysis tool using PyTorch and scikit-learn for real-time data processing, enabling actionable insights for trading decisions. Full-Stack AI/ML Dashboard

Built a full-stack AI/ML dashboard using React, TypeScript, and NodeJS to visualize machine learning model performance and predictions in real-time. TECHNICAL SKILLS

Languages: Python, Java, C++, TypeScript, JavaScript, SQL, NoSQL Machine Learning & AI: PyTorch, TensorFlow, scikit-learn, OpenAI API, Hugging Face Transformers, LangChain, XGBoost, LightGBM

Web Development: Django, FastAPI, React, Angular, NodeJS, TypeScript Cloud & DevOps: AWS (Lambda, EC2, S3, DynamoDB), Serverless Framework, Docker, Git Data & Analytics: Pandas, NumPy, Matplotlib, Seaborn EDUCATION

M.S. in Computer Science

University of Iowa

PASSIONS

AI/ML Solutions • Python Application Development • Cloud Engineering • Scalable Systems

• Deep Learning

• • Developed and deployed serverless functions using AWS Lambda to process streaming data and automate backend tasks, reducing infrastructure overhead and scaling automatically with demand.

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