Senior Software Engineer · Applied AI / ML Research · CNC & HMI Systems

I design and build industrial-grade software at the intersection of CNC automation, HMI systems and applied artificial intelligence.
I have over 15 years of experience working on large-scale C++ and Python codebases for industrial machinery, CAD/CAM pipelines and real-time control interfaces.

Alongside my industrial work, I conduct independent research in computer vision, image forensics and AI system reliability.

Most of my day-to-day work happens inside private enterprise repositories and NDA-bound environments.
My main areas of activity include:

• Architecture and long-term maintenance of complex industrial software systems
• Refactoring and modernization of legacy C++ codebases
• CNC-oriented computational geometry and multi-axis kinematics
• HMI design for safety-critical and production environments
• Internal tooling, QA automation and applied ML for diagnostics and prediction

This profile represents the public-facing subset of that work.

I maintain several research projects focused on AI robustness, interpretability and content authenticity:

• 🌓 Spectrum Analyzer (internal)
  Spectral-domain methods for detecting AI-generated images versus real imagery.

• 🎞️ StoryHash (internal)
  Temporal fingerprinting of video content using sequence embeddings.

• 🧩 Vortex Engine / Neon Excape (private)
  An isometric voxel engine with procedural generation and simulation-oriented design.

• 🤖 AI Agents & MLOps Tooling (private)
  Internal frameworks for agent-based workflows, evaluation and cost-aware inference.

Public material is released selectively when it reaches a stable and reproducible state.

Peer-facing repositories associated with my research:

• 📘 Spectral Generalization for Synthetic Image Detection
  Dataset, code and experimental material.
  https://github.com/denisbilli/spectral-generalization-paper

• 📙 StoryHash: Temporal Fingerprinting of Video Content
  Data, notebooks and experimental code.
  https://github.com/denisbilli/storyhash-paper

Additional research outputs will be linked here as they become publicly available.

Selected public projects and utilities:

• ⚙️ qDBManager
  Lightweight ORM / entity manager for Qt.
  https://github.com/denisbilli/qDBManager

• 🕹️ Asteroids
  C++ implementation of the classic arcade game.
  https://github.com/denisbilli/Asteroids

• 🗺️ gmplot (contributor)
  Python library for plotting data on Google Maps.
  https://github.com/vgm64/gmplot

• 🖼️ PyImgDuplicateFinder
  Script to detect and move duplicate images using similarity heuristics.
  https://github.com/denisbilli/PyImgDuplicateFinder

• 🧪 PyQuizMakerAdvanced
  Python-based interactive quiz maker.
  https://github.com/denisbilli/PyQuizMakerAdvanced

I focus on systems that must remain correct, explainable and maintainable over time.

My approach is shaped by:

• long-lived industrial software rather than short-lived prototypes
• constraints-driven design (hardware, safety, latency, cost)
• skepticism toward black-box solutions in production environments
• preference for measurable improvements over theoretical elegance

I tend to work at the boundary between
software architecture, mathematical modeling and real-world constraints.

• correctness before cleverness
• explainability over blind optimization
• tools must earn their complexity
• production is the real benchmark

I am inventor or co-inventor of multiple software patents related to:

• 🖥️ HMI workflows and interaction models for CNC machinery
• 🪚 CAD/CAM automation and machine control logic

Details are available where disclosure is permitted.

A full-stack platform for managing photography businesses: communication flows, client portals, reminders, contracts and freelancer coordination.
Built with Django, Celery and REST APIs.
Currently evolving into a SaaS with analytics and AI-assisted workflows.

A lightweight speech-to-text platform based on Whisper pipelines and microservice batching strategies.

Private tools covering:

• 5-axis kinematics and angle computation
• ISO code generation and post-processing
• Machine simulation and validation
• ML-based diagnostics and pattern analysis

Mentoring students on ML, game development and computational geometry.
Author of internal workshops on Git workflows, CNC/HMI architecture and AI explainability.

C++, Python, Qt, CMake, Linux, Git
with extensive experience in CAD/CAM pipelines, CNC controllers and industrial software lifecycles.

This profile reflects:

• deep industrial experience in CNC and HMI systems
• applied AI research grounded in real-world constraints
• a balance between enterprise software engineering and independent research
• a preference for depth, correctness and reproducibility over hype

For technical discussions, research collaboration or professional inquiries, feel free to reach out.