Available to hire
I’m Stephen Pardue, a senior software engineer focusing on end-to-end AI-powered systems. With over 14 years of experience, I’ve built scalable backends, fine-tuned large language models, and deployed ML solutions across AWS and Azure. I enjoy turning complex problems into reliable, production-ready software using Python, Django, FastAPI, and a mix of Generative AI frameworks.
I love bridging backend engineering with ML to deliver practical enterprise AI, from RAG pipelines to computer vision integrations. I mentor teammates, lead containerized microservice deployments, and design robust CI/CD and monitoring to keep AI features safe and scalable in production.
Language
English
Fluent
Work Experience
Senior AI/ML Engineer at Zillion Technologies, Inc
September 1, 2021 - PresentDesigned and deployed scalable FastAPI-based backend microservices with advanced NLP capabilities, enabling domain-specific text classification and semantic retrieval pipelines for enterprise clients. Built and fine-tuned LLMs using PEFT, QLoRA, AlphaQLoRA, and PPO, delivering custom domain models that improved knowledge retrieval and conversational AI accuracy by 35%. Implemented RAG pipelines with LlamaIndex, LangChain, and LangGraph for intelligent document search and agent-based workflows. Developed computer vision pipelines with PyTorch and YOLO-based architectures for object detection in manufacturing quality assurance and logistics monitoring. Orchestrated cloud deployments on AWS and Azure, leveraging ML training/inference services. Implemented Docker+Kubernetes-based microservices with CI/CD via GitHub Actions and Azure DevOps. Mentored junior engineers, reducing onboarding time by 40%.
Senior AI/ML Engineer at Zillion Technologies, Inc
September 1, 2021 - PresentDesigned and deployed scalable FastAPI-based backend microservices with NLP capabilities, enabling domain-specific text classification and semantic retrieval pipelines for enterprise clients. Built and fine-tuned LLMs using PEFT, QLoRA, AlphaQLoRA, and PPO, delivering custom domain models that improved knowledge retrieval and conversational AI accuracy by 35%. Implemented RAG pipelines with LlamaIndex, LangChain, and LangGraph to power intelligent document search and agent-based workflow automation. Developed computer vision pipelines using PyTorch and YOLO-based architectures for object detection in manufacturing quality assurance and logistics monitoring. Orchestrated cloud deployments on AWS and Azure leveraging Azure AI Foundry and AWS SageMaker for scalable training and inference. Collaborated with cross-functional teams to deploy microservices with Docker and Kubernetes, targeting high availability and auto-scaling. Implemented CI/CD workflows with GitHub Actions and Azure DevOps
Senior Software Engineer at WaveMaker Inc
July 31, 2021 - September 26, 2025Built modular backend services in Django and FastAPI following MVVT architecture to support AI-driven applications. Developed custom NLP pipelines for keyword extraction, NER, and summarization to enhance enterprise content search. Designed and deployed RabbitMQ-based, large-scale event-driven workflows for financial data pipelines. Created backend support for RAG-enabled chatbot systems by integrating Hugging Face transformers and LangChain for retrieval-aware conversations from private client datasets. Deployed microservices on Heroku and AWS ECS; containerization with Docker for portability and scaling. Collaborated with data scientists to implement beam search, token-level optimization, and custom RNNs for specialized language tasks. Conducted performance tuning and load testing to ensure high-concurrency production readiness.
Senior Software Engineer at WaveMaker Inc
July 1, 2021 - September 26, 2025Built modular backend services in Django and FastAPI, following MVVT architecture principles to deliver scalable APIs for AI-driven applications. Developed custom NLP pipelines for keyword extraction, named-entity recognition, and summarization, enabling smarter search and retrieval for enterprise content systems. Designed and deployed RabbitMQ-based queue workflows for large-scale event-driven data processing. Created backend support for RAG-enabled chatbot systems by integrating Hugging Face transformers and LangChain, enabling retrieval-aware conversations from private client datasets. Deployed microservices on Heroku and AWS ECS with Docker-based containerization for portability and scaling. Collaborated with data scientists to implement beam search, token-level optimization, and custom RNNs for specialized language tasks. Conducted performance tuning and load testing to ensure low-latency, high-concurrency production-ready systems.
Full Stack Engineer at AXIOMIO
August 31, 2017 - September 26, 2025Developed backend APIs using Django Ninja and FastAPI, integrating with React/Next.js frontends for cross-platform applications. Maintained and scaled Node.js/Express.js services while progressively migrating components to Python for AI integration. Built data scraping pipelines with Selenium and deployed desktop automation tools with Tkinter for visualization. Integrated third-party REST APIs for payments, logistics, and real-time data into Django-based backends. Containerized services with Docker and deployed on AWS EC2/RDS, ensuring redundancy and cost efficiency. Collaborated with frontend teams to optimize API response times, achieving notable latency reductions.
Full Stack Engineer at AXIOMIO
August 1, 2017 - September 26, 2025Developed backend APIs using Django Ninja and FastAPI, integrating with React and Next.js frontends for cross-platform applications. Maintained and scaled Node.js/Express services while progressively migrating business-critical components into Python for AI integration. Built data scraping pipelines with Selenium and deployed them as desktop automation tools using Tkinter for visualization and user interaction. Integrated third-party REST APIs for payments, logistics, and real-time data services into Django-based backends. Containerized all services with Docker and deployed production workloads on AWS EC2 and RDS, ensuring redundancy and cost efficiency. Collaborated closely with frontend teams to optimize API response times, reducing latency by 40%.
Education
B.S., Computer Science at Georgia Institute of Technology
January 1, 2012 - January 1, 2015B.S., Computer Science at Georgia Institute of Technology
January 1, 2012 - January 1, 2015Qualifications
Microsoft Certified Azure Developer Associate
January 1, 2021 - September 26, 2025AWS Certified Developer – Associate
January 1, 2020 - September 26, 2025TensorFlow Developer Certificate
January 1, 2023 - September 26, 2025Machine Learning with Python
January 11, 2030 - September 26, 2025Microsoft Certified Azure Developer Associate
January 1, 2021 - September 26, 2025AWS Certified Developer – Associate
January 1, 2020 - September 26, 2025TensorFlow Developer Certificate
January 1, 2023 - September 26, 2025Machine Learning with Python
January 11, 2030 - September 26, 2025Fundamentals of Deep Learning Nvidia
January 11, 2030 - September 26, 2025Industry Experience
Software & Internet, Professional Services, Computers & Electronics, Manufacturing, Financial Services, Media & Entertainment
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