Data Engineer & AI Engineer · Sandefjord, Norway

Martin
Majidi

Currently at Jotun, working with Hull Skating Solutions (HSS) — with a background in production AI systems and computer vision.

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About

I currently work at Jotun with Hull Skating Solutions (HSS). With 5+ years of experience, my background spans data engineering, production AI systems, backend services, and optimization algorithms.

I hold a Master's degree in Applied Computer and Information Technology with an AI specialization from Oslo Metropolitan University, where my thesis on AI-based sports video cropping earned the top grade and produced peer-reviewed publications at IEEE and ACM conferences.

My background bridges Computer Science, Industrial Engineering, and Artificial Intelligence — allowing me to connect technical implementation with real-world problem solving.

Location
Sandefjord, Norge
Education
  • MSc AI · Oslo Metropolitan University
  • MSc Industrial Engineering (focus on optimization algorithms)
  • Bachelor of Computer Science
Research
6 papers · 99 citations · h-index 5
Certification
AWS Technical Essentials
Languages
English · Norwegian (basic) · Persian

Experience

Aug 2026 – Present
Hull Skating Solutions (HSS)
Jotun · Sandefjord
Aug 2024 – Mar 2026
Software Engineer
Allente AS · Oslo
  • Built full-stack HR Chatbot with RAG architecture using Spring Boot, OpenAI GPT-4o, and PostgreSQL vector search, serving employees across 4 Nordic countries
  • Maintained partner integration system processing subscription data across 6+ streaming platforms including Amazon Prime, Viaplay, and TV2
  • Extended API gateway with endpoints for Boost.ai chatbot and voice bot integration for customer service automation
  • Implemented GraphQL and REST APIs across microservices for customer data retrieval
Jun 2023 – Jun 2024
AI & ML Developer
Forzasys / SimulaMet · Oslo
  • Built end-to-end SmartCrop system for automatic sports video cropping with focal point detection and social media distribution API
  • Developed Flask-based GUI for real-time video processing with interpolation and outlier configuration controls
  • Fine-tuned YOLO v8, v9, and RT-DETR models for real-time object detection achieving production-ready accuracy
  • Designed video processing pipeline for automatic reformatting to platform-specific aspect ratios
Engineering
2017 – 2021
Optimization Developer
Espad Company · Iran
  • Designed metaheuristic optimization algorithms in MATLAB for emergency response routing in earthquake scenariosFull report
  • Developed a bi-objective nurse scheduling model minimizing staffing cost and fatigue simultaneously, applying virtual-age theory and a GA–VNS metaheuristic validated against exhaustive search across 9 shift scenariosFull report
  • Formulated an integrated MILP model jointly optimizing hub-port location, inter-hub ship chartering, and real-time berth allocation with non-overlap scheduling constraints across a maritime logistics networkFull report
  • Modeled facility location-allocation under stochastic demand and customer balking behavior using queuing theory, optimizing queue congestion, green supply chain emissions, and lost demand simultaneously with a two-phase GA and Monte Carlo hybrid solver
    Full report
    Podcast · Balancing Queues, Pollution & Facility Location
  • Modeled a multi-dock cross-docking VRP with stochastic travel times — jointly optimizing two-level vehicle routing (suppliers→docks and docks→customers), inter-dock product transfers, and vehicle-to-dock assignment — solved via a Biogeography-Based Optimization metaheuristic with three-matrix solution encodingFull report

Projects

Jotun

Hull Skating Solutions (HSS)

Currently at Jotun, working with Hull Skating Solutions (HSS). More information is available on Jotun's official HSS page.

Learn more at Jotun
Conversational AI · Live Demo

HR Chatbot — RAG Architecture

Production chatbot serving 4 Nordic countries. Spring Boot + GPT-4o + pgvector for semantic search over HR documents via SharePoint/Microsoft Graph API. Admin panel for document management.

This demo is CV-based — a small-scale version of the Allente HR chatbot.

JavaSpring BootGPT-4opgvectorRAG
Integration

Partner Platform

Subscription data sync across 6+ streaming platforms — Amazon Prime, Viaplay, TV2 Play — handling user provisioning, entitlements, and real-time status.

JavaREST APIsMicroservicesDocker
API & Integration

API Gateway & Chatbot Integration

Extended API gateway with new endpoints for Boost.ai chatbot and voice bot integration, configuring API connectors for customer service automation. Implemented GraphQL and REST APIs across microservices for customer data retrieval.

JavaGraphQLREST APIsBoost.aiMicroservices
Optimization

Emergency Response Routing

Metaheuristic optimization for routing emergency responders in earthquake scenarios. Mathematical models balancing response time, resource allocation, and coverage.

MATLABOptimizationOperations Research
Computer Vision · Featured

SmartCrop — AI-Based Sports Video Cropping

End-to-end system for automatic cropping of sports videos (soccer and ice hockey) for social media. Fine-tuned YOLOv8/v9 and RT-DETR for real-time focal point detection. Built a Flask GUI with interpolation, outlier controls, and platform-specific aspect ratios. Resulted in 6 publications, 99+ citations, and a Best Paper Award nomination at ACM MMSys 2024.

PythonFlaskYOLOv8/v9RT-DETROpenCV
GUI Demos
GUI v1 — Football
GUI v2 — Ice Hockey
Output Examples
Football — cropped output
Ice Hockey — cropped output

Publications

6
Papers
99
Citations
5
h-index
4
i10-index
Citations per year
2
2021
0
2022
2
2023
46
2024
33
2025
16
2026
Public access
2 available 1 not available

AI-based sports highlight generation for social media

Mile-High Video Conf., 202434 cited

Soccer on social media

arXiv preprint, 202319 cited

AI-based cropping of soccer videos for different social media representations

Int. Conf. Multimedia Modeling, 202417 cited

SmartCrop: AI-based cropping of soccer videos

IEEE ISM, 202310 cited

SmartCrop-H: AI-Based Cropping of Ice Hockey Videos

ACM MMSys, 20245 cited★ Best Paper Nominee

Bi-objective optimization of basic and extended warranty policies regarding preventive maintenance and burn-in policies: Weibull bathtub-shaped failure rate

Life Cycle Reliability, 20203 citedPodcast

Tech Stack

Data Engineering

  • ETL Pipelines
  • Big Data Analytics
  • Predictive Analytics
  • Data Modeling
  • SQL & PostgreSQL

Languages

  • Java
  • Python
  • SQL
  • MATLAB

Frameworks & Tools

  • Spring Boot
  • Flask
  • REST APIs & GraphQL
  • PostgreSQL & pgvector
  • Docker

AI / ML

  • RAG Architecture
  • YOLO (v8, v9) & RT-DETR
  • Vector Search
  • Computer Vision
  • OpenAI API

Cloud & DevOps

  • AWS (certified)
  • Azure
  • CI/CD Pipelines
  • Microservices
  • Git

Architecture

  • Microservices Design
  • API Gateway Patterns
  • Event-Driven Systems
  • System Integration

Practices

  • Agile / Scrum
  • Code Review
  • Technical Writing
  • Research & Publication
Let's build something together

I'm currently at Jotun, working with Hull Skating Solutions (HSS) in Sandefjord. Open to connecting about AI and technology.

Download CV
CV (English) CV (Norwegian)
martinmajidi@yahoo.com +47 463 76 549 LinkedIn GitHub Google Scholar