Hi, I'm Charles
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I specialize in cloud architecture and full-stack development, building scalable solutions using modern technologies.
About Me
I'm an AI & Data Engineering Leader pioneering the integration of advanced AI agents and generative AI into production-ready enterprise applications. At McKinsey & Company, I've led the development of multiple high-impact AI solutions that leverage cutting-edge frameworks to accelerate development and deliver tangible business value. My expertise spans the full lifecycle of AI-driven applications - from architecting cloud-native infrastructure and implementing MLOps practices to deploying intelligent agents that transform how enterprises operate.
I specialize in building production-grade applications that harness the power of AI agents, large language models, and automated workflows. By combining deep technical expertise in cloud architecture (AWS, Kubernetes, Serverless) with advanced AI capabilities, I deliver solutions that not only streamline development but create intelligent, autonomous systems that drive real business transformation.
10+
Years Experience
3
AWS & Cloud Certs
10+
Production AI Apps
Experience
Principal (Jr.) Data Engineer
McKinsey & Company
July 2021 - Present
- • Architected and deployed production-grade generative AI applications using advanced agentic frameworks
- • Built intelligent automation systems leveraging LLMs and AI agents, reducing operational workload by 40%
- • Designed cloud-native AI infrastructure using AWS, Kubernetes, and Terraform for enterprise-scale deployment
- • Implemented MLOps practices and CI/CD pipelines for reliable AI system deployment
Senior Data Engineer
XSELL Technologies
March 2021 - July 2021
- • Developed production ML pipelines for intelligent customer engagement systems
- • Built real-time AI-powered decision engines using Spark and AWS
- • Automated complex workflows through AI-assisted development, reducing manual processes by 50%
Data Engineer
Numerator
March 2020 - March 2021
- • Engineered intelligent data pipelines for petabyte-scale analytics
- • Implemented automated optimization systems, reducing cloud costs by 35%
- • Developed smart ETL processes with built-in data quality checks
Data Engineer
GoHealth
March 2019 - March 2020
- • Led development of intelligent data processing systems using Databricks and Snowflake
- • Implemented automated data quality frameworks with predictive monitoring
- • Built self-optimizing batch processing pipelines
Data Engineering Contractor
Capital One (via Hays)
June 2018 - March 2019
- • Developed intelligent risk modeling systems using cloud-based ML pipelines
- • Enhanced automated decision-making systems through advanced analytics
- • Implemented smart data processing workflows with automated validation
Certifications
AWS Certified Solutions Architect
2024Amazon Web Services
Professional level certification demonstrating expertise in designing distributed systems and deploying AI applications on AWS
Terraform Cloud Engineer
2024HashiCorp
Associate level certification in infrastructure as code and cloud automation using Terraform
Projects
Enterprise AI Agent Platform
Developed a production-grade platform leveraging LLMs and AI agents to automate complex enterprise workflows.
Intelligent Cloud Infrastructure
Built production-ready, self-optimizing cloud infrastructure for AI applications using advanced automation.
AI-Accelerated Development Platform
Created a multi-tenant platform that leverages AI to accelerate enterprise software development.
Get in Touch
As a Principal Data Engineer specializing in AI/ML infrastructure and cloud architecture, I'm always interested in discussing innovative technical solutions and opportunities. Whether you have a project in mind or want to connect about data engineering, AI, or cloud architecture, feel free to reach out!