MSc Computer Science, TU Delft · Netherlands

ML and data engineer.

I develop machine learning and data systems, from data pipelines and modelling to evaluation and deployment. Available immediately for roles in the Netherlands.

Portrait of Shreya Sebastian

About

I completed my MSc in Computer Science at TU Delft on the Artificial Intelligence Technology track. My thesis, supervised in the Socially Perceptive Computing Lab, used unsupervised learning on fused positioning and audio data to discover activity contexts in an inclusive preschool, and mixed-effects models to compare children with and without hearing loss within each context.

In addition to my studies, I have developed independent projects. Tech Jobs Radar is a job board that I designed, deployed and maintain, comprising crawling, classification, a CI evaluation gate and a Kubernetes deployment on AWS. RetroSTC-Net is a research project in PyTorch on retroactive consolidation in neural networks, inspired by synaptic tagging and capture.

Before TU Delft I took a BSc in Computer Science at Leiden University on the bioinformatics track. I am a native English speaker with conversational Dutch, based in the Netherlands and available immediately. Outside of work, I play basketball.

Education

  • 2023 to 2026
    MSc Computer Science, TU DelftArtificial Intelligence Technology track
  • 2020 to 2023
    BSc Computer Science, Leiden UniversityBioinformatics track

Tools

  • Python
  • SQL
  • Java
  • C++
  • PyTorch
  • TensorFlow
  • scikit-learn
  • OpenCV
  • pandas
  • NumPy
  • FastAPI
  • Postgres
  • Docker
  • Kubernetes
  • Terraform
  • Git

Languages

  • English, native
  • Dutch, conversational

Highlighted projects

All projects →
Tech Jobs Radar overview page with skill demand charts
Live since September 2026

Tech Jobs Radar

A public job board that reads postings from Dutch employer career sites, classifies tech roles and extracts fields such as skills, seniority and visa sponsorship. I designed the system and maintain it in production, with an evaluation gate in CI and a Kubernetes deployment on AWS.

  • FastAPI
  • Postgres
  • Kubernetes
  • AWS
  • Terraform
Bar chart of the four sensor features for each of the six activity contexts
MSc thesis · TU Delft

Social inclusion from sensor data

Measures the social inclusion of preschool children with hearing loss from wearable positioning and audio data. I fused the sensor streams, identified six activity contexts with a Gaussian Mixture Model and compared the two groups of children within each context using mixed-effects models.

  • Unsupervised learning
  • Mixed models
  • Multimodal data
Plot of consolidation against the timing of a salient event
Research · open source

RetroSTC-Net

Applies synaptic tagging and capture, a theory of how memories become permanent, to networks trained with backpropagation. I designed the mechanism and evaluated its consolidation log as an explanation of what the network retains.

  • PyTorch
  • Continual learning
  • Explainability

Get in touch

Open to roles in machine learning, data science and software engineering.