Alfred Sjöqvist

Portfolio Open to roles

Alfred Sjöqvist

Computer engineer at the intersection of data, AI, and engineering. I'm a 4th-year Computer Engineering and Cognitive Science M.Sc student (dual degree) specializing in AI/ML.

1
Text Extraction
2
Embedding
3
Skill Matching

Selected Projects

Loading projects...

Capabilities

Expertise

ML & AI
Python · PyTorch · TensorFlow · scikit-learn · NLP · CV · HuggingFace
Data Engineering
SQL · PostgreSQL · Spark · Airflow · Pandas · NumPy
Visualisation
Plotly · D3.js · Matplotlib · Tableau · Seaborn
Infrastructure
Docker · AWS · GCP · CI/CD · Linux · Terraform
Academic

Research & Publications

Privacy-Aware Real-Time Metadata Processing for Distributed Camera Networks

Bachelor thesis with Axis Communications — investigating how metadata from multiple networked cameras can be securely processed and visualised in real time. Designed privacy-minimising data flows, evaluated latency constraints across asynchronous streams.

Linköping University
DiVA Portal
2025

Accessible Genealogy Platform — Bridging the Digital Divide

Cognitive Science thesis grounded in Nielsen's usability heuristics, iterated through scenario-based user tests with SUS scoring. Achieved an average SUS of 90.2 — "excellent" — across all age and digital-literacy groups.

Linköping University
Bachelor's Thesis
2025

Cohesion-Based Sentence Reordering for Extractive Summaries

Research for the TextAD project at Linköping University. Applied Coh-Metrix-style metrics, SBERT embeddings, and simulated annealing to reorder sentences. A human study (N=22) found that maximising cohesion does not reliably improve perceived readability.

TextAD Project
Linköping University
2023
Background

Experience

Axis Communications
Thesis Researcher — R&D

Bachelor thesis on privacy-aware real-time metadata processing for distributed camera networks. Designed secure data flows and visual abstractions for multi-camera analytics.

Jan – Jun 2025
Lund, SE
Linköping University
Research Assistant — TextAD / NLP

Developed NLP research prototype for cohesion-based sentence reordering in extractive summaries. Applied SBERT embeddings, Coh-Metrix metrics, and simulated annealing.

2023
Linköping, SE