ICS student · PGC
Teaching machines to learn.
I’m an ICS student exploring Machine Learning and Deep Learning, with a growing interest in building practical software around intelligent systems. I use Python, its data and ML libraries, FastAPI and frontend technologies to turn what I learn into working projects.
Currently exploring Deep Learning
Biography
A student curious about how machines learn.
I'm an ICS student at PGC. My interest in machine learning grew through Andrew Ng's courses, which introduced me to the mathematics and ideas behind models that learn from data.
Along the way, I taught myself HTML, CSS, JavaScript, Python and its data libraries, then explored FastAPI. I learn by experimenting, solving problems and turning concepts into small working projects.
Today, I’m strengthening my foundations in machine learning, deep learning and reinforcement learning while practising the data preparation and model-building work behind useful applications.
What I know
The theory I study, the tools I reach for.
The concepts I’m studying and the tools I’m practising as I learn to build and deliver machine learning applications.
01 Core Skills
02 Tools & Technologies
Selected work
Things I've built to see ideas run.
A selection of projects where I apply what I learn to practical problems and usable interfaces.
Lab
Watch a model learn.
An interactive illustration of a training process, showing how loss and accuracy can change across epochs. The values are simulated for learning purposes.
Simulated for illustration, not a real benchmark.
Growth
How I got here, one chapter at a time.
A learning journey shaped by coursework, independent study, experimentation and building projects.
Say hello
Let's build something that learns.
Have a project idea, a question about machine learning or an opportunity to collaborate? You can reach me through GitHub or LinkedIn.