Software · Machine Learning

DakshAgrawal

Computer Science @ University of Waterloo, President's Scholarship of Distinction.

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PulmoScanNeuroSketchSatellite Change DetectionAI @ KisshtCS @ Waterloonine years of pianoguitar & vocalsMoonlight Sonata
PulmoScanNeuroSketchSatellite Change DetectionAI @ KisshtCS @ Waterloonine years of pianoguitar & vocalsMoonlight Sonata

In short

I build software where engineering meets machine learning. GraphQL layers that tame ten-thousand-file systems, diagnostic tools that turn flat CT scans into 3D lungs you can spin around.

Focus areas

Four disciplines, one goal: software that ships.

01

Software Engineering

Production systems: GraphQL layers, legacy modernization, APIs that hold up under load.

02

Machine Learning

CNNs, Siamese networks, and explainable pipelines applied to real diagnostic problems.

03

Full-Stack

Next.js, React, and FastAPI. End-to-end products, from data pipeline to polished UI.

04

3D & Visualization

Three.js and VTK.js, turning flat data into something you can reach into.

By the numbers

0.0

GPA, Honours CS @ Waterloo

0%

network overhead cut at OptimaCore

0×

hackathon winner

0.00

F1-score, satellite change detection

Currently

AI Engineer @ Kisshtfor Summer 2026.

These days I build AI for consumer lending at Kissht, and I'm open to future co-op terms. Building something ambitious? Let's talk.

Get in touch