Virginia Tech · Computer Science · '28

Ifzaal Ahamed Imdad

I build AI systems that are measured honestly and governed by risk: agent platforms, applied ML, and evaluation.

Now PulseOps AIHICE Lab3.97 GPA
Look inside ↓
Inside my brain

Neural network of Ifzaal

A neural network passes signals through layers of neurons, and every connection has a weight: how much one neuron influences the next. I've drawn everything I've done the same way.

  • Neuron = an experienceClick one to zoom inside it. The big glowing ones are my flagship work.
  • Layer = a yearSignals flow left to right, from 2018 to what's next.
  • Bright line = a strong weightThat experience clearly shaped the next one.
  • The axis = timeThe line underneath is the calendar. It fills in as you scroll.
Forward pass2018 → now
Forward pass

2018 → now

Each dot is a neuron and the line is time, filling in as you scroll. Tap any neuron to zoom inside it.

Case files · newest first

Experience and projects

The same neurons as the network, as a plain list with the most recent first. Open any card for the full case file.

Weights and biases

Languages and toolkits

What I build with. The coloured dots are the neurons where each one was used. Hover or tap a tool to jump to them.

Training data

Coursework

The classes behind the network, at Virginia Tech, where I major in computer science and minor in artificial intelligence.

3.97 / 4.00 GPADean's List every semester since Fall 2024President's List both semesters of freshman year