Tech Leader | IoT Systems Expert | Cloud Solutions Architect

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I am a passionate and experienced technology leader specializing in the design, implementation, and management of innovative Cloud, IoT and edge computing solutions. With over 13 years of experience in the field, I thrive on leading cross-functional teams to drive innovation and deliver impactful projects across diverse sectors, including smart cities, energy, and consumer products. My expertise spans cloud technologies, particularly AWS, along with edge device management, CI/CD system design, and the integration of open-source technologies to build scalable and flexible architectures.

My technical skills are anchored in a deep understanding of IoT architectures and protocols like MQTT and MODBUS, combined with proficiency in programming languages such as Python, C/C++, Java, and NodeJS. This enables me to tackle a wide range of technical challenges, from embedded systems to high-level application development. I am particularly skilled in leveraging AWS services such as IoT Greengrass, Lambda, SageMaker, and SiteWise to bridge the gap between the physical and digital worlds.

Beyond the technical realm, I excel in leadership, adept at managing diverse teams, securing funding for innovative projects, and fostering strong client relationships. I am a firm believer in continuous learning, demonstrated by my recent certification in “Generative AI with Large Language Models.” I am committed to applying cutting-edge advancements, particularly AI, to develop smarter, more efficient solutions.

My focus is on leveraging technology to solve real-world problems, streamline operations, and drive business growth. I am a forward-thinking leader who adapts readily to emerging trends, making me a valuable asset to any organization seeking to maximize the potential of IoT and edge computing technologies.

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Technical Expertise Highlights:

  • Programming: Python, C/C++, Java, NodeJS, C#
  • Cloud: AWS (IoT, Greengrass, Lambda, SageMaker, SiteWise), CloudFormation, CDK, SAM
  • IoT & Edge: MQTT, MODBUS, OPC UA, Edge Device Management
  • DevOps: CI/CD, Docker, Git, Bash Scripting
  • AI: Generative AI, Machine Learning, Large Language Models
  • Data: Prometheus, Kibana, Datadog, Elasticsearch

Recent Accomplishments:

  • Led the development of cutting-edge edge computing solutions for the EV charging industry.
  • Secured funding from AWS and the US Air Force for multiple IoT initiatives.
  • Developed and deployed machine learning models at the edge for real-time predictive analytics.
  • Certified in “Generative AI with Large Language Models” from DeepLearning.ai

Beyond the Code:

I am also an advocate for inclusive infrastructure and sustainable transportation. I’m actively involved with Bike Indianapolis, and am passionate about creating inclusive communities. I find a balance in my technical pursuits with interests in finance, economics, and astrophotography.