Aldo C.
Founder & CEO
Experience
Founder & CEO
Knotenloserin
- Spearheaded product strategy and development roadmap for AI-driven software solutions
- Designed and implemented Large Language Model (LLM) applications, including RAG pipelines, autonomous agents, and intelligent chatbots
- Developed generative AI systems for text, image, and data synthesis across multiple domains
- Built and deployed scalable SaaS platforms tailored for customized enterprise and research applications
- Led customer acquisition and user research initiatives, translating insights into product growth and improved user experience
- Managed business operations, partnerships, and strategic collaborations to accelerate company growth and innovation
Firmware Engineer
RPM Tech
- Developed and maintained C# applications for automated quality testing of Culinex production units
- Implemented Python and C# tools to establish and manage TCP/IP network connectivity for device communication
- Reviewed and optimized embedded C/C++ firmware code to enhance performance and reliability
- Conducted software testing, debugging, and validation to ensure functional compliance and stability
- Managed version control and collaborative development workflows using GitHub
Electrical Engineer
Attune Neurosciences
- Designed and implemented a custom GUI in Python for Focused Ultrasound device testing and data visualization
- Reviewed and refined Arduino firmware written in C++ to improve device performance and reliability
- Performed MRI data analysis comparing addiction and control cohorts using advanced neuroimaging tools
- Authored a research manuscript on neuroimaging and behavioral correlations, currently in preparation for publication
Postdoctoral Fellow
University of Maryland, Baltimore
- Advanced Alzheimer’s disease research through the integration of ASL-MRI, PET-FDG, and fMRI modalities
- Applied mathematical modeling, signal processing, and deep learning to identify biomarkers and characterize disease progression
Senior Machine Learning Scientist
Sonosa Medical Inc.
- Designed and implemented AI/ML algorithms and end-to-end pipelines for ultrasound image processing
- Deployed deep learning models on Google Cloud for scalable clinical and research applications
- Contributed to clinical study design, data acquisition, and patient recruitment strategies
- Led software development efforts for integrating AI tools into clinical workflows
- Supported non-dilutive funding applications by providing technical documentation and data-driven results
Postdoctoral Fellow
University of Maryland, Baltimore
- Supported curriculum development and lab modules for neuroimaging and AI integration
- Mentored junior researchers in data analysis and machine learning applications
Postdoctoral Fellow
University of Maryland, Baltimore
- Applied ASL-MRI, PET-FDG, and fMRI in Alzheimer’s research, integrating mathematical models, signal processing, and deep learning
- Investigated disease progression and identified biomarkers
Researcher
University of Liège
- Identified circadian and ultradian patterns in disorders of consciousness patients
- Processed and analyzed EEG data
- Conducted DTI analysis for disorders of consciousness patients
- Enhanced MBMDR software based on C++ for SNP interaction studies
Founder, CEO, Electrical Engineer, Research and Development
Knotenloserin
- Researched deep learning and CNN applications for video surveillance
- Developed software for UAV-based image mosaicking using C++ and Python
- Developed video surveillance AI models
- Designed and laid out PCBAs for different industry applications
Visiting Faculty
National University of Engineering
- Courses taught: Deep Learning, Data Science, Fundamentals of Artificial Intelligence, Machine Learning, Computer Vision (including OCR), Object detection using Yolov5, Yolov7 and Yolov11
- Supervised student capstone projects and graduate research in embedded AI
Electrical Engineer, Research and Development
I+T - Engineering and Technology
- Developed power system software (Swap Smart) using C++ (Visual Studio)
- Created super-resolution algorithms for medical imaging (SuperRIVAM)
- Engineered a PDF compression tool reducing file sizes by 20–90% including OCR for all PDF documents (ComprimePDF)
Software Quality Assurance Engineer
DTS
- Designed automated testing scripts for testing C and C++ SDKs on Windows and Linux
- Developed CMake files for SDK compilation
- Created mobile applications for 5.1 audio effects
Graduate Teaching Assistant
University of North Dakota
- Assisted in teaching embedded systems, microprocessor design, and real-time systems
- Mentored students in GPU programming and C/C++ implementation
Summary
Machine Learning Vision Engineer specializing in production-grade OCR and computer vision systems, with strong expertise in Python, PyTorch, OpenCV, and object-oriented software design. Experienced in developing scalable object detection, image classification, and OCR pipelines optimized for low-latency, high-throughput transaction workflows, and integrating ML components into distributed architectures in collaboration with DevOps and engineering teams.
Skills
Languages: Python, Java (Spring, Boot), C, C++, C#, Sql, R, Matlab, Cuda
Devops: Git, Gradle, Jenkins, Docker, Kubernetes, Ci/cd, Ocp
Tools / Machine Learning: Pytorch, Tensorflow, Jax, Mlops, Llm, Ollama, Langchain, Langgraph, Rag, Snowflake, Databricks
Languages
Education
University of Liège
Ph.D. in Biomedical and Pharmaceutical Science · Biomedical and Pharmaceutical Science · Liège, Belgium
University of North Dakota
Ph.D. in Electrical Engineering · Electrical Engineering · Grand Forks, United States
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