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David Kirchhoff

Software Engineer

Our Mission

At DeconvoluteAI, the goal is simple yet ambitious: help businesses of all sizes leverage the power of Generative AI (GenAI) and Natural Language Processing (NLP) — without compromising privacy.

While large enterprises have the resources to develop AI-powered tools in-house, many small and mid-sized businesses are left behind due to cost, complexity, or privacy concerns. DeconvoluteAI aims to close that gap by offering privacy-first AI tools, services, and knowledge to empower every business — big or small — to extract value from their data while maintaining full control over it.

Our solutions prioritize local processing, on-prem deployments, and internal cloud options to ensure sensitive information remains where it belongs — under your control.

In addition to offering tools and services, we openly share our learnings on NLP, Generative AI, and practical business applications. This knowledge-sharing approach allows businesses, developers, and individuals to stay ahead in a rapidly evolving AI landscape.


About DeconvoluteAI

DeconvoluteAI takes its name from the concept of deconvolution (also called transposed convolution) in convolutional neural networks. This layer is essential for upsampling, allowing models to reconstruct higher-resolution data from lower-resolution inputs. A notable application of this technique is in super-resolution, where machine learning models learn to fill in missing information to enhance image resolution. The spirit of deconvolution — transforming something complex into something clear and useful — is at the heart of this initiative.


About Me

I'm a software development engineer with a deep passion for problem-solving, machine learning, and human cognition. My journey has been shaped by a drive to understand systems from first principles, which led me to explore fluid mechanics, lean production principles, and machine learning.

During my time as an intern at Mercedes-Benz, I had the opportunity to apply lean production principles in real-world manufacturing settings. This experience, combined with coursework on process optimization and the Three Types of Work framework, shaped how I approach modern software engineering. I believe that many of the core ideas from lean production — such as identifying waste, automating repetitive tasks, and continuous improvement — directly translate to building better software systems and AI solutions.

Before starting DeconvoluteAI, I’ve co-created NeuralCeption, a website dedicated to computer vision and machine learning on mobile devices, where I shared my insights on the latest research and applications in the field. Now, my focus is on using NLP and privacy-first AI to help businesses unlock insights from their unstructured data, such as emails, documents, and internal knowledge bases.

As an engineer, I enjoy working across the stack, whether it’s architecting models, designing products, or exploring the latest research in computer vision and natural language processing or computer vision.


Our Vision for the Future

We envision a future where businesses of all sizes — from lean startups to global enterprises — have access to AI tools that are private, transparent, and user-controlled. No more worrying about data leaks, third-party services, or handing over valuable information to external APIs. With privacy-first AI, companies can maintain full ownership of their data while still benefiting from world-class AI capabilities.

DeconvoluteAI is committed to building products that meet these principles. Our flagship tools include:

  • Email Summarization App: A privacy-first tool that summarizes your emails locally, with zero data leaving your system.
  • InsightVault: An open-source AI-powered engine for document search, Q&A, and summarization that can be deployed locally, on-prem, or within internal clouds.

These solutions embody the mission of making AI accessible, useful, and secure.


Looking for Co-Founders and Collaborators

The mission of DeconvoluteAI is ambitious, and I believe collaboration is essential to achieve it. If you’re an engineer, designer, marketer, or entrepreneur passionate about privacy-first AI, I’m actively looking for co-founders and like-minded colleagues to join forces.

If you believe in the potential of privacy-first AI and want to help shape the future of NLP and GenAI for businesses, I’d love to connect. Whether you want to contribute ideas, collaborate on tools, or explore the possibility of co-founding something greater, reach out. Let's build something transformative — together.

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