Inventor & Engineer
Karl Appel
kappel1992@gmail.com
(631) 827-9956
Work Experience
2017 - Present
Lead AI Software Engineer
FlowActive - NY
- Developed embedded software for IoT devices utilizing machine learning algorithms, specifically recurrent neural networks (RNNs), for leak detection in toilets.
- Implemented neural networks using large language models (LLMs) such to analyze patterns in leak detection across buildings.
- Designed architecture for real-time IoT data streams using AWS services including AWS IoT Core and Kinesis, ensuring efficient data processing.
- Developed user interfaces with ReactJS and Electron apps, integrating APIs and Raspberry Pi devices to sync with custom machine learning pipelines.
- Managed API development and database interfacing using MySQL, optimizing backend systems for performance and scalability.
- Contributed to successful grant applications, securing $1,250,000 in SBIR funding from the NSF.
2024
Software/Hardware Engineer Contractor
NY
- Worked on advanced battery technology, using AI-driven diagnostics and optimization.
- Implemented local LLMs (e.g.,Qwen, Deepseek) for chatbots to enhance issue-solving capabilities in critical applications.
- Expertise in hardware-software integration, including embedded systems and edge computing for real-time processing.
- Assisted companies in confidential projects under strict NDAs, focusing on cutting-edge AI and hardware advancements.
2023
Software Developer Contractor
Uppmarket - NY
- Worked on advanced battery technology, using AI-driven diagnostics and optimization.
- Implemented local LLMs (e.g.,Qwen, Deepseek) for chatbots to enhance issue-solving capabilities in critical applications.
- Expertise in hardware-software integration, including embedded systems and edge computing for real-time processing.
- Assisted companies in confidential projects under strict NDAs, focusing on cutting-edge AI and hardware advancements.
2014 - 2018
Co-Founder
Intelligent Retrieval - NY
- Developed custom AI software solutions, including machine learning algorithms for data analytics and decision-making.
- Designed a suite of e-commerce tools utilizing AI-driven recommendations and predictive analytics.
- Provided data analytics consulting, employing techniques like clustering and classification to derive actionable insights.
Education
2015
Masters of Technology Commercialization & Entrepreneurship
Rensselaer Polytechnic Institute (RPI) - Troy, NY
2014
Bachelors Of Science (BS) - Computer Science
Siena College - Albany, NY
Skills & Expertise
Data Science & Analysis
Applied clustering, classification, NLP, and predictive analytics to large datasets; used Python, Pandas, and NumPy for web scraping, diagnostics, and insight generation in real-world applications.
Full Stack Developer
Integrated backend APIs with ReactJS front ends and embedded hardware; built cross-platform applications combining real-time data pipelines, database systems, and ML models for full product delivery.
Front End Development
Built interfaces using ReactJS and Electron, linking machine learning outputs with embedded devices; ensured seamless UX across desktop and web apps integrated with real-time data APIs.
AI
Developed AI solutions with RNNs, GPT-based LLMs, and custom ML models for leak detection, web scraping, chatbot integration, and real-time diagnostics in embedded and cloud environments.
Embedded Programming
Knowledgeable in managing and utilizing Content Management Systems (CMS) and Customer Relationship Management (CRM) tools to streamline content workflows and improve customer interactions.
Backend & Database Systems
Designed and maintained scalable backend infrastructure using MySQL, PostgreSQL, DynamoDB, and AWS services; built APIs, optimized data flows, and managed real-time ingestion pipelines.
Projects
Bluetooth for Mongoose OS
Bluetooth for Mongoose OS
AI For JFK Files (2025)
AI for JFK Files (2025)