PDigit's AI PORTFOLIO
Blending AI efficiency with human interpretation
Introduction
I’m an electronic engineer specialized in Robotics
and Industrial Automation, with over 20 years of
hands-on experience in embedded systems.
Passionate
about transforming innovative ideas into real-world
solutions, collaborating with cross-functional teams and
guiding projects from concept to production.
Here, you’ll find my experience in AI and Machine
Learning (ML) projects that I’ve worked on in recent
years.
Even before the rise of ChatGPT, I had been engaged in a wide range of AI projects, including face recognition, object detection, pattern recognition of electrical signals, and predictive maintenance. With expertise in Python, TensorFlow, Keras, OpenCV, and cloud platforms like Google Cloud and AWS, I have successfully trained and deployed models both on edge devices and in the cloud. My skills also extend to data collection, regression testing, and working with large language models (LLMs), further strengthening my AI expertise.
Today, millions of people rely on LLMs provided by
Big Tech companies—such as OpenAI’s ChatGPT, Google
Gemini, Mistral, and Claude—benefiting from their
capabilities in countless applications.
However, not
all use cases can or should depend on cloud-based
services. Factors like connectivity, response time,
privacy, and data confidentiality often demand greater
control over AI systems.
The growth of AI is likely exponential, so it’s almost impossible to keep these pages up to date. This is not a blog!
NEW deepdive Podcast
on PDigit’s AI public publications including this
website if you prefer to list
➡️ This is where my main focus lies: Local
inference, Retrieval-Augmented Generation (RAG), AI
Agents, Fine-Tuning, and other techniques that enable
on-premises AI solutions:
Frameworks, LLMs (local and cloud) and programming environments
Contacts&References (complete)
- See my Linked profile for more information regarding
my career as an embedded HW and SW engineer
and publications
- See my Linked profile for more information regarding
my career as an embedded HW and SW engineer
Prompt Engineering and GAN and GAI Experiences examples 2022-2023
Early adopter and power user of main LLM for
generating efficient prompts for scope See
Prompt Engineering App Project –
2022/2023
As an early pioneer user (prompt
engineering) I have direct experience creating
images created with: - DALL E (Open AI), Midjourney,
Stable Diffusion (stability.ai)
- Google Colabs or local Jupiter notebooks - Automatic
111, txt2img prompts, img2img prompts - Discord
Server
Other Literature and References
Images credits
Images used in this website were created by author of under Common Creative License.
Some Images are derived from GAN/GAI: Stability.ai, MidJourney or Open AI’s DALL-E.