Todd Gillette currently serves as a Staff Software Engineer at Northrop Grumman Corporation’s Mission Systems as well as Director of onAir Tech, a startup building an innovative open knowledge network platform. Todd earned his PhD in Neuroscience in 2015 from George Mason University, having researched informatics and data analytics methods applied to neuronal morphology and function. He holds a BS in Engineering and BA in Computer Science from Swarthmore College.

Along with his many years working with software, Todd’s experience includes mission engineering and systems engineering, determining and documenting the key problems to be solved, deriving requirements, architecting and evaluating candidate solutions, and verifying designs and implementations. He has worked with cyber systems and software engineers to address anti-tamper and unintended emissions concerns and to integrate defensive and offensive cyber capabilities. Todd has also studied and applied artificial intelligence, including machine learning and logical ontology-based techniques. The intersections of AI and biological brains, and how to leverage them to enhance human capabilities in an ethical and human-centered manner, continue to be one of Todd’s primary interests.

Chief Communications Officer, onAir Networks

Public Policy for Digital Technology, Internet & Telecommunications, Innovation and Technological Emergence

My goal is to help shape policies and strategies around information technologies that empower people throughout the world. My interests include information and communications technologies, Internet & telecommunications policy, technology innovation policy and technology forecasting. I am also interested in spiritual development, electronic art and music, and video games. Technology can bring both great promise and peril, and I thrive in expanding the former and minimizing the latte

Hello everyone! My name is Matthew Kovacev, and I am Hub Management Director for onAir Networks. I am responsible for moderating, curating, and administering several hubs, including, but not limited to the following hubs:

• • Data Engineering
  • Better Future
  • AI Top Hub
  • AI Policy
  • People’s Internet
  • AI2 Nexus

My mission is to get humanity to the next level of technological progress. I am a firm believer in the use of AI for social good, and I have faith that humanity will use it to achieve feats once thought impossible. Inspiration is my creed, and I will do everything I can to elevate humanity towards the stars and above!

Have any burning questions? Feel free to contact me!

I am a passionate Computer Science graduate student at George Mason University with 1.5 years of experience in software development and automation testing. Skilled in full-stack technologies (JavaScript, React.js, Node.js), cloud platforms (AWS, Docker, Kubernetes), and automation tools (Selenium, WebdriverIO).

I am eager to contribute to impactful projects and am actively seeking full-time roles in software development. Let’s connect to explore opportunities!

Source: LinkedIn

Passionate about data innovation, AI applications, and delivering scalable engineering solutions in fast-paced environments. Results-driven Computer Science graduate student at George Mason University with 3+ years of experience as a Data Engineer at NTT DATA Services. Adept at building and optimizing ETL/ELT pipelines using tools like Talend, Snowflake, and AWS to support real-time data processing and cloud migration.

Proven track record in transforming legacy systems, improving billing accuracy, and enabling data-driven decision-making through Power BI dashboards. Skilled in Python, SQL, Apache Spark, AWS Glue, and Kafka, with hands-on DevOps experience deploying CI/CD pipelines using Docker, Kubernetes, and Jenkins.

Software Developer @ onAir Tech | AI-Driven Systems | Cloud & Scalable Architectures | MS Computer Science

Software Developer at onAir Tech, building scalable AI-driven and cloud-native systems supporting the onAir platform and affiliated nonprofit networks. Recently earned a Master’s degree in Computer Science from George Mason University, with academic focus on machine learning, distributed systems, and applied data engineering.

Experience includes developing a machine learning-based stock market prediction system using pattern mining techniques, engineering a blockchain-based distributed wallet architecture, and building full-stack applications deployed on AWS cloud infrastructure. Worked across the full software development lifecycle — from requirements analysis and system design to implementation, optimization, and deployment.

Data Scientist & Full Stack Engineer

I am a dedicated Computer Science graduate student specializing in Artificial Intelligence, with 6 months of hands-on experience as a full stack developer.

I’m passionate about translating complex data into actionable insights and developing intelligent systems that solve real-world problems. Currently seeking opportunities in AI engineering and data analytics where I can apply my technical expertise to drive innovation and deliver business value.

👋 Hi, I’m Sai Sriram Uppada – a Data Analytics Engineering graduate, AWS Certified Data Engineer, and AI enthusiast who enjoys building end‑to‑end data, ML, and LLM‑powered systems that solve real problems in a scalable way.

I recently completed my Master’s in Data Analytics Engineering at George Mason University (GPA 3.85/4.0), where I focused on data engineering, machine learning, and LLM-based analytics. Over the past few years, through academic projects, research work, and internships, I’ve worked across the full data lifecycle: from ingestion and ETL to modeling, evaluation, and deployment for analytics and intelligent applications. I’m actively seeking full-time and internship opportunities as a Data Engineer, Data Analytics Engineer, or Data Analyst where I can contribute to data platforms, AI-driven products, and cloud-native solutions.