A cutting-edge tool to simplify and accelerate the creation of conversation datasets for AI models. Whether you're working on chatbots, sentiment analysis, or dialogue systems, this project will help you generate high-quality datasets with ease. Check it out and let me know what you think!
im a fan of ai and math. and computers. and motorcycles and metal.
- Current Role: Managing Principal at Enfuse.io
- Expertise: AI Software Engineering, Edge AI, LLMs, Computer Vision, Distributed Systems, and Real-Time Analytics.
- Passionate About: Teaching AI, building intelligent systems, and pushing the boundaries of neural networks. I'm particularly excited about the potential of continued fraction neural networks to revolutionize interpretability and explainability in AI.
- Philosophy: "If you're not always learning, you're always falling behind."
I love sharing my knowledge and engaging with the tech community. Here are some of my notable speaking engagements:
- Nvidia GTC 2025 (San Jose, CA): Agentic AI at the Edge: Real-Time Sentiment Analysis for Engaging Customer Interaction.
- Datacon LA 2021 (Virtual): Building Production Data Pipelines with Test Driven Development (TDD) and Pair Programming.
- Data Intensive Application Meetup (Irvine, CA): Massive Data Processing at Scale.
- SpringOne Platform 2019 (Austin, TX): High Speed Data Processing with Apache Geode and Spring Cloud Stream.
- SpringOne Platform 2018 (Washington, DC): Continuous Data Governance with Spring Cloud Data Flow.
- Apache Geode Summit 2016 (Palo Alto, CA): Predicting and Preventing Vehicle Failures Using Streaming Telematics Analysis.
- IBM Datapalooza 2015 (San Francisco, CA): Real Time Vehicle Telematics
- Pivotal Labs Meetup 2015 (San Francisco, CA): Predicting & Preventing Vehicle Failures Using Streaming Telematics Analysis
- Programming Languages: Python, Java favorites. But code generation models make this not important anymore, heh.
- Data & AI Platforms: Nvidia TensorRT, Nvidia TensorRT-LLM, Nvidia NeMo, Nvidia TAO, Nvidia ACE (love aceagent and colang!), Apache Spark, Hadoop.. and too many more to list.
- AI Frameworks: PyTorch, TensorFlow, Neural Networks.
- Cloud Platforms: AWS (Certified Solutions Architect), Microsoft Azure.
- AI Expertise: Machine Learning, Neural Networks, Real-Time AI at the Edge.
- Research Interests:
- Continued fraction neural networks for enhanced interpretability and explainability in AI.
- New paradigms like Cache-Augmented Generation (CAG) to reduce latency in retrieval-augmented workflows.
- Others: Distributed Systems, Data Pipelines, Continuous Integration/Continuous Deployment (CI/CD).
- Learning Resources: I recommend deeplearning.ai for refreshing your AI knowledge and staying sharp.
- Hobbies:
- Motorcycles & Metal: Recently participated in a music video for Slaughter to Prevail.
- Mathematics: A strong foundation in math is essential for AI—embrace it, don't fear it.
- Agentic AI software development and real-time AI applications.
- Open source contributions and community engagement.
- Causes: Education, Science, and Technology.
Feel free to explore my repositories, connect on LinkedIn, or reach out for collaborations. Let's build the future together!