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Senior Software Engineer Python Django flask react AI/ML

Location:
Leoma, TN
Posted:
October 27, 2025

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Resume:

JAMES HUGHES

Leoma, TN, ***** +1-931-***-**** ***************@*****.*** linkedin.com/in/james-hughes-1234567abc/ Senior Software Engineer – AI/ML Scalable Systems Technical Innovation Senior Software Engineer with 8 years of experience specializing in Python and AI-driven solutions, with frontend expertise in React and Next.js. Spearheaded DeFi system engineering, increasing company income by 130%. Implemented LLM-powered document classification and NLP automation, reducing manual processing costs by 30-35% and saving $250K annually. Promoted twice in four years, reflecting strong performance and leadership capabilities. Core Skills

Software Engineering

Full-Stack Development

Python Backend Development

AI/ML Model Development

NLP, LLMs & Conversational AI

Scalable System & Cloud Architecture

API Design & Integration

Automation & Process Improvement

Data Engineering & ETL Pipelines

Microservices & Containerization

Front-End Development

Mobile Application Development

Performance Tuning

Automation & Process Improvement

Agile & Scrum Methodologies

Career Highlights

Cubix – Refined the e-commerce platform, resulting in the platform to handle 2x peak traffic without degradation and streamlined deployment, reducing release time by 60%.

Argo AI – Upgraded performance with 24% faster load times and +70s longer sessions across 5+ projects via front- and back-end optimization. Developed a DeFi system (swap, pool, staking, lending, borrowing) that elevated company income by 130%. Technical Skills

Programming & Frameworks: Python, Ruby, JavaScript, TypeScript, C/C++, PHP, HTML5 Front-End Development: React.js, Next.js, Angular, Vue.js Back-End & API Development: Django, Flask, FastAPI, Node.js, Laravel, RESTful APIs, GraphQL, Microservices, MVC, Software Design

Mobile Development: React Native, Flutter

Databases & Messaging: MySQL, PostgreSQL, MongoDB, Microsoft SQL Server, Firebase, RabbitMQ Cloud & DevOps: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Nginx, Jenkins, Docker (CI/CD), Kubernetes, Git (Version Control), Agile / Scrum Data Science & AI: PyTorch, TensorFlow, NumPy, Pandas, scikit-learn, Natural Language Processing (NLP), LLMs, Retrieval-Augmented Generation (RAG)

Professional Experience

Cubix Olrando, FL 2021 to Present

Senior Software Engineer

Directed full-stack architecture and development of a greenfield platform using Python (Django, FastAPI) and modern frontend frameworks (React, Next.js, Angular, Vue). Architected and generated launched microservices and RESTful APIs, integrating AI/ML- driven automation to optimize workflows and enhance data processing. Achieved 35% improvement in system performance, 70% reduction in manual operations, and 20% faster development cycles, driving measurable gains in scalability and product delivery speed. JAMES HUGHES

Analyzed and led development of a greenfield solution, automating client anonymity verification and centralizing data handling, resulting in a 25% reduction in operational overhead.

Spearheaded UI transformation on an eCommerce platform using React, Next.js, Material-UI, and GraphQL, driving a 20% increase in user engagement.

Planned and released a Django-Next.js Web application and mobile application for iOS and Android, boosting cross-platform adoption by 35%.

Constructed a GraphQL-based API gateway, shortening feature development cycles by 15% and enhancing scalability.

Automated document classification with LLM-powered NLP, condensing manual document classification by 70%.

Optimized ML pipelines with embedding-based caching, cutting API costs by 30% and accelerating inference speed.

Deployed an ML-driven recommendation engine on AWS to personalize product offerings, lifting conversion rates by 12%.

Devised a microservices based system architecture comprising 12 services handling 1,500 TPS, leveraging Docker, AWS ECS, FastAPI, and PostgreSQL.

Constructed a RAG pipeline supporting 250,000 documents with Pinecone and OpenAI, improving response accuracy by 40%. Argo AI Pittsburgh, PA 2019 to 2021

Full Stack Engineer

Built and maintained scalable applications using Python frameworks (Django, Flask) and Java Spring Boot. Applied a multifaceted development skill set across Web, Mobile, and Desktop platforms, ensuring versatility and scalability of delivered solutions. Leveraged modern frameworks, such as Next.js and Angular, to create high-performance user interfaces. Created cross-platform mobile applications using React Native and Flutter, providing seamless functionality across iOS and Android. Revamped multi-platform desktop applications with UWP and Uno Platform, showcasing innovation in product delivery.

Composed and maintained scalable applications supporting high-traffic eCommerce, improving response times by 60% and reducing infrastructure costs by 30% while supporting 2x traffic growth.

Designed and established a DeFi system serving 25,000 active users and processing 10,000+ transactions daily, achieving $12M TVL.

Improved database queries, reducing query response time by 70-80% by addressing inefficient JOIN operations in a PostgreSQL- backed analytics service.

Improved system performance across 5+ projects, achieving 24% faster loading times and boosting average session duration by 70+ seconds through front-end and back-end optimization.

Heightened responsiveness and user experience by creating API-driven web applications, resulting in XX% increase in user engagement.

Identified and resolved performance bottlenecks by optimizing database queries and storage solutions in 8+ back-end systems, resulting in XX% performance improvement.

Actowiz Solutions LLP Walnut, CA 2017 to 2018

Python Developer

Engineered and conducted Django MVC web applications, improving functionality, performance, and overall user experience. Led the enhancement and maintenance of desktop applications with WPF, driving significant improvements in user interaction and usability. Introduced the optimization and development of SQL Server databases, raising query efficiency and cultivating system performance.

Redesigned and controlled Django MVC web applications, driving a 20% increase in user engagement through UI transformations and enhanced functionality.

Enhanced and produced desktop applications with WPF, implementing asynchronous data loading and UI virtualization to reduce page load times by 35%.

Streamlined SQL Server databases by creating indexed views and rewriting nested queries, realizing a 45-50% improvement in query efficiency.

Applied MVVM pattern to decouple logic from UI, improving scalability and driving a 25% increase in monthly active users. Education

Bachelor of Science – Computer Science (2017)

Hodges University, Fort Myers, FL



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