I am Charles Williams, a Senior AI/ML Engineer with a proven track record of delivering data-driven, scalable solutions for the utility industry and beyond. I specialize in Python-based models, cloud deployment (AWS/GCP), and building production-grade AI services, from NLP to computer vision, with a focus on maintainability and reliability. I thrive on turning complex business requirements into practical AI solutions. I collaborate across product, data, and engineering teams, design robust architectures, and emphasize clean documentation, automated testing, and CI/CD practices. I am passionate about exploring emerging AI technologies, including LLMs, to drive innovation and measurable impact, while keeping systems secure, observable, and cost-efficient.

Charles Williams

I am Charles Williams, a Senior AI/ML Engineer with a proven track record of delivering data-driven, scalable solutions for the utility industry and beyond. I specialize in Python-based models, cloud deployment (AWS/GCP), and building production-grade AI services, from NLP to computer vision, with a focus on maintainability and reliability. I thrive on turning complex business requirements into practical AI solutions. I collaborate across product, data, and engineering teams, design robust architectures, and emphasize clean documentation, automated testing, and CI/CD practices. I am passionate about exploring emerging AI technologies, including LLMs, to drive innovation and measurable impact, while keeping systems secure, observable, and cost-efficient.

Available to hire

I am Charles Williams, a Senior AI/ML Engineer with a proven track record of delivering data-driven, scalable solutions for the utility industry and beyond. I specialize in Python-based models, cloud deployment (AWS/GCP), and building production-grade AI services, from NLP to computer vision, with a focus on maintainability and reliability.

I thrive on turning complex business requirements into practical AI solutions. I collaborate across product, data, and engineering teams, design robust architectures, and emphasize clean documentation, automated testing, and CI/CD practices. I am passionate about exploring emerging AI technologies, including LLMs, to drive innovation and measurable impact, while keeping systems secure, observable, and cost-efficient.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Full Stack Developer at Double A Solutions
May 1, 2020 - October 1, 2025
Developed and deployed end-to-end machine learning models using Python, TensorFlow, and Scikit-learn, improving prediction accuracy and reducing processing time across high-volume datasets. Built scalable REST and FastAPI microservices to serve AI models in production, integrating model versioning, monitoring, and automated retraining pipelines. Designed and implemented NLP solutions using Transformers, SpaCy, and Hugging Face, enabling advanced text classification, sentiment analysis, and document summarization. Automated complex data workflows with Airflow, Pandas, and NumPy, significantly optimizing ETL pipelines and reducing manual data preparation efforts. Deployed AI applications on AWS/GCP using services like SageMaker, Lambda, Cloud Run, and ECS, ensuring high availability, secure access, and cost-efficient scaling.
Software Engineer at Nysus Solutions
November 1, 2016 - April 1, 2020
Designed, developed, and deployed scalable Python-based applications and AI-driven systems to support enterprise and client-facing solutions. Built and optimized machine learning and deep learning models for predictive analytics, automation, and intelligent decision-making. Implemented natural language processing (NLP) solutions for text analysis, chatbots, and document intelligence using modern AI frameworks. Developed computer vision pipelines for image classification, object detection, and video analytics applications. Led data preprocessing, feature engineering, model evaluation, and performance optimization across diverse datasets. Integrated AI models into production environments using REST APIs, microservices, and cloud-based architectures. Automated data workflows and business processes using Python scripts, improving efficiency and reducing operational costs. Collaborated closely with product managers, data engineers, and stakeholders to translate business requirements into AI
Full Stack Engineer at IKONIC DEV LLC
February 1, 2016 - October 1, 2016
Built cloud-native web applications and backend services for MantraSys’s financial and enterprise clients, leveraging Node.js / TypeScript and modern frontend frameworks. Contributed to MantraSys’s commission management utility and cloud debt-collection system, creating robust APIs, business logic, and data access layers. Developed and maintained mobile and web interfaces for MantraSys’s mobile payment app and mobile credit card app, ensuring smooth UX and secure integration with backend systems. Worked on data analytics and reporting tools (dashboards, BI) as part of MantraSys’s data-analytics practice, helping clients derive insights from large / structured data using data warehousing and ETL. Implemented custom scheduling and permit-management SaaS solutions for government / municipal clients (e.g., business license system and permits manager) in cloud environments. Supported testing and QA for both web and mobile applications on Mantra’s platforms; helped set up automated
Full Stack Engineer at IKONIC DEV LLC
February 1, 2014 - October 1, 2016
Built cloud-native web applications and backend services for financial and enterprise clients using Node.js/TypeScript and modern frontend frameworks. Contributed to commission management utilities, cloud debt-collection systems, and data analytics tools. Developed and maintained mobile and web interfaces for payment apps, implemented data analytics dashboards, and developed SaaS solutions for scheduling and government/municipal use cases. Collaborated with DevOps teams to deploy solutions via CI/CD pipelines and integrated AI/machine learning components into production systems.

Education

Bachelor of Science in Computer Science at The University of Toledo
April 1, 2006 - June 1, 2010
Bachelor of Science - B.S. Computer Science at The University of Toledo
April 1, 2006 - June 1, 2010

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Government, Education, Financial Services, Energy & Utilities