GRAYSCALECOLORIZED
INTERACTIVE CONCEPT VISUAL · DRAG TO EXPLORE
Bringing grayscale to life
Exploring image colorization with deep learning: learning how to bring color back to grayscale images.
MACHINE LEARNING · COMPUTER VISION
A curious mind.
A world of
possibilities.
Hi, I’m Muhammad Saad Najib.
I turn data into understanding, and ideas into intelligent systems.
FIG. 01 — THE CONNECTED MIND
RESEARCH MINDSET. ENGINEERING INSTINCT.SCROLL TO EXPLORE
Machine learning ✳ Computer vision ✳ Deep learning ✳ Data analysis ✳ Creative problem solving ✳
01 / SELECTED WORK
Ideas, made real.
A few explorations at the intersection
of data, vision, and engineering.
embedding → recognitionFACENET · CONCEPT VISUALIZATION
Beyond the pixels
A FaceNet implementation exploring face alignment, feature extraction, and recognition in images and video.
A different perspective
An Android exploration of head-pose detection and threshold-based image capture.
Teaching machines to see
A collection of OpenCV experiments, from image processing to face detection and feature extraction.
02 / THE PERSON BEHIND THE CODE
Driven by
“what if?”
ALWAYS LEARNING. ALWAYS BUILDING.
I’m Saad, a computer science graduate with a fascination for how machines learn, see, and understand.
My work spans machine learning pipelines, facial recognition, and image colorization. From product development at Aletheia AI to research at DFKI, I’ve enjoyed connecting technical ideas with practical problems.
Alongside my M.Sc. studies at RPTU, I’m drawn to the analytical side of engineering: asking better questions, making sense of data, and learning through experimentation.
Beyond the code, I value communication, teamwork, and giving back. I’ve raised funds for education, captained a departmental football team, and learned that good work is rarely a solo effort.
My working toolkit
03 / THE JOURNEY SO FAR
Learning. Building.
Moving forward.
Research, real-world engineering,
and a foundation in computer science.
OCT 2022 — SEP 2023
DFKI · German Research Center for Artificial Intelligence
Research Assistant
Worked on machine learning pipelines, semantic datatype checking, and dataset generation, using large datasets to build predictive models.
NOV 2020 — MAR 2022
Aletheia AI
Machine Learning Engineer
Progressed from an internship in system deployment to a full-time product development role, contributing to a facial recognition pipeline.
2016 — 2020
Early explorations
A foundation in building
Internships in AI, front-end development, web development, and IT at Digital Landscape, Interns Pakistan, Pakistan Civil Aviation Authority, and PTV.
PUBLISHED RESEARCH / 2021
From final-year project
to published research.
“An efficient Convolutional Neural Network based Image Colorization Technique” — KIET Journal of Computing and Information Sciences.
CONTINUOUS LEARNING
The learning
doesn’t stop.
Coursework and certifications in neural networks, deep learning optimization, data science, machine learning, PyTorch, and React.
04 / LET’S CONNECT
Great things start
with a conversation.
Have an interesting problem, a research idea,
or just want to say hello? I’d love to hear from you.