💻 Senior AI/ML Engineer
📍 Odesa, Ukraine | 🌐 Remote-first | 📧 andriimomotiuk38@gmail.com

I'm a results-driven AI/ML engineer with a passion for combining machine learning, real-time sensor data, and geospatial/CAD systems into practical, deployable solutions. My strengths lie in bridging the gap between embedded systems and AI pipelines, building everything from PDF/CAD parsing tools to real-time ML for IoT devices.

I've worked remotely with global teams across the US, Germany, and Ukraine, and I thrive in environments where systems, sensors, and software meet. I'm equally comfortable writing low-level C++ or Qt, building AutoCAD plugins in C#, or deploying deep learning models with PyTorch.

I specialize in building lightweight ML inference pipelines for edge devices, particularly in industrial and sensor-rich environments.

🔹 Real-time sensor data acquisition, processing, and analysis
🔹 Embedded ML deployment using C++, Python, and TensorFlow Lite
🔹 Sensor fusion and predictive analytics for IoT systems
🔹 Custom data pipelines optimized for low-power or constrained hardware
🔹 Debugging and deployment using CMake, GDB, and cross-compilation

This skillset supports real-time operational intelligence for infrastructure, smart monitoring systems, and industrial automation.

My background in computer vision includes everything from training deep models to building CV tools for engineers.

🔹 Image segmentation, object detection, feature recognition
🔹 Full ML lifecycle: preprocessing → training → evaluation → deployment
🔹 Annotation and dataset curation tooling
🔹 Optimized real-time inference for video/image streams
🔹 Model deployment using PyTorch, TensorFlow, and OpenCV

One of my niche specialties is AutoCAD plugin development for civil and infrastructure engineering. I use C# with .NET SDK to deliver seamless extensions that connect AutoCAD drawings to ML tools, external databases, or GIS platforms.

🔹 Block, layer, and attribute parsing and automation
🔹 Integration with geospatial or sensor data platforms
🔹 CAD-to-ML data extraction pipelines (PDF/DWG to AI)
🔹 Custom UI/UX for plugin tools inside AutoCAD
🔹 Efficient, production-grade plugin architecture using WinForms and WPF

These plugins reduce manual effort for engineers and enhance drawing intelligence through automation and data fusion.

My work frequently involves large-scale spatial or drawing-based data formats - especially for infrastructure and construction clients.

🔹 Vector and raster geospatial data analysis
🔹 Parsing and extracting features from PDF engineering drawings
🔹 Visualization of GIS/CAD outputs using Qt or matplotlib
🔹 Pipeline development that connects static plans with dynamic sensor data
🔹 Location-aware alerting, monitoring, and decision support systems

✅ End-to-end development: from low-level embedded code to high-level AI models
✅ Skilled in both individual contribution and team collaboration
✅ Deep understanding of ML engineering, performance optimization, and system design
✅ Comfortable with both startup pace and enterprise codebases
✅ Strong documentation, testing, and production-readiness mindset

• Building AI-powered tools for real-world environments
• Smart infrastructure systems
• Bridging CAD/GIS with ML
• Edge deployment and embedded AI
• Continuous learning through projects and experimentation

I enjoy working at the intersection of AI, systems engineering, and real-world data-whether it's enabling intelligence at the edge, optimizing vision pipelines, or integrating spatial data into operational tools.

What drives me is solving meaningful problems with clean, reliable solutions that scale-from low-level embedded development to high-level ML deployment. I value precision, performance, and building things that last.

Thanks for stopping by. If you're exploring ideas that need both depth and practicality, I hope my work speaks for itself.