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About Me

Saeed Shafiee Sabet

I'm Saeed Shafiee Sabet, an AI and machine learning engineer with a PhD and experience building LLM-based applications, AI agents, backend services, computer-vision models, and cloud-based ML solutions. My focus is on agentic workflows, RAG systems, video analytics, conversational AI, and applied AI products across sports analytics, VR training, and communication systems.

I combine a research background with hands-on engineering, product delivery, and technical leadership — turning research prototypes into production-ready AI solutions, leading ML engineering teams, and building systems for real-world users.

💼 Open for consultancy

I'm available for consultancy engagements in AI in general, and especially AI agents and computer vision — from architecture and prototyping to production delivery. Reach me at sa.shafiee.sabet@gmail.com.

🎯 Consulting Focus

  • AI agents and LLM systems: RAG, tool-based agents, domain-specific assistants, retrieval pipelines, evaluation, and production integration.
  • Applied AI delivery: Turning prototypes into usable systems through backend services, APIs, deployment pipelines, and cloud infrastructure.
  • Computer vision and video AI: Object detection, tracking, action detection, content-aware cropping, automated highlights, and real-time analytics.
  • Client-facing AI solutions: Translating domain and societal problems into AI systems — for legal services, sports media, police/interview training, and communication use cases.

🧑‍💻 Experience

Codento AS — Lead AI & ML Engineer (from Aug 2026, Oslo)

The Nordics' leading Google Cloud partner, specialising in data, AI and cloud solutions.

  • Role focused on AI agents, LLM systems, machine learning, computer vision, and Google Cloud based AI solutions.
  • Client-facing AI delivery, production-grade ML systems, and modern agentic AI solutions.

Forzasys AS — Senior Machine Learning Engineer (May 2023 – Jul 2026, Oslo)

AI-driven video intelligence systems for sports clubs, broadcasters and digital content workflows.

  • Developed APIs and backend services for AI-driven systems using Python, Flask, PyTorch, and PostgreSQL.
  • Built LLM-based AI-agent tools for video export, social-media automation, and workflow support using LangChain.
  • Led development of AI soccer-highlight generation systems using computer vision, Python, and AWS.
  • Worked on production video intelligence systems for sports clubs, broadcasters, and digital content workflows.
  • Developed AI-based content-aware video cropping tools for social-media platforms.

HITAI Corp — Co-founder & Head of AI (Dec 2024 – Dec 2025, London / Remote)

Start-up building a combat-sports analytics platform powered by computer vision.

  • Led development of an AI combat-sports analytics system using computer vision.
  • Managed a team of six ML engineers across data annotation, model development, deployment, and iteration.
  • Deployed a production analytics system on Google Cloud for a live match broadcast to hundreds of thousands of viewers.
  • Developed AI pipelines for athlete tracking, strike analysis, performance metrics, and stat generation.
  • Worked across product definition, model development, engineering coordination, and delivery.

SimulaMet — Research Scientist (Feb 2021 – May 2023, Oslo)

Research institute focused on applied AI, networks and multimedia systems.

  • Developed AI chatbot systems integrated into VR training simulations for investigative-interview scenarios.
  • Fine-tuned local and cloud-based language models for domain-specific conversational behaviour.
  • Worked on applied AI, VR training, quality of experience, and conversational systems.
  • Supervised 2 PhD students and 20+ master's and bachelor's students across AI, virtual avatars and multimedia projects.

Simula Research Laboratory — Research Scientist / PhD Researcher (Feb 2018 – Feb 2021, Oslo)

Leading Norwegian research laboratory in computing and software.

  • Researched cloud gaming quality of experience, delay sensitivity, and latency compensation techniques.
  • Delivered AI-powered solutions for real-world research and industry problems.
  • Collaborated with Deutsche Telekom AG on ITU-T G.1072 standardisation.
  • Supervised and mentored MSc students in AI, multimedia systems, and applied research.

🎓 Education

  • PhD in Engineering, Technical University Berlin (2018 – 2021)
    • Dissertation: Modeling the Impact of Delay on Cloud Gaming Quality of Experience
    • Author of a published Springer book on cloud-gaming quality of experience.

📚 Publications

Nearly 70 peer-reviewed articles, 1,050+ citations, h-index 19. The record spans sports video analytics, AI-based content generation, LLM-based child-avatar training, cloud-gaming quality of experience, immersive media and multimedia quality assessment.

Selected publications:

  • AI-Based Sports Highlight Generation for Social Media — Mile-High Video Conference, 2024
  • AI-Based Cropping of Soccer Videos for Different Social Media Representations — Multimedia Modeling, 2024
  • Towards an AI-Driven Talking Avatar in Virtual Reality for Investigative Interviews of Children — GameSys, 2022
  • Human vs. GPT-3: The Challenges of Extracting Emotions from Child Responses — QoMEX, 2022
  • The Influence of Delay on Cloud Gaming Quality of Experience — Springer, 2023

Full profile on Google Scholar.

🏆 Honours

  • Ranked 10th in the university IT entrance exam among 30,000+ candidates.
  • Recipient of multiple best-paper awards in sports analytics.
  • Author of a published Springer book on cloud-gaming quality of experience.

🌍 Languages

  • English — Fluent
  • Norwegian — B1
  • Farsi — Native