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Product development · education

Orbitum

From an EdTech hackathon idea to explainable competency and opportunity intelligence.

Yerkezhan and I began with an EdTech idea for a Halyk Bank hackathon. We did not win. We continued, formed a new team, and developed the concept into Orbitum during summer 2026.

01 / THE QUESTION

How can evidence of a student’s skills inform learning and research opportunities beyond a single GPA?

Team: Yerkezhan — frontend and selected backend components; Aidana — educational content; Nurzhan — project publication. The technical specification uses the name Talent Bridge AI.

Architecture conceptOrbitum
  1. 01Student evidence
  2. 02Competency profile
  3. 03Opportunities & next steps
ExamineExplainabilityHuman oversight

The architecture includes proposed modules and evaluation plans; this diagram does not establish implementation maturity.

02 / THE WORK

My contribution

  1. Co-initiated the project and led the AI systems from the beginning.

  2. Developed the AI-system architecture around competency profiling, opportunity matching, skill gaps, and adaptive learning pathways.

  3. Designed for evidence-backed recommendations, confidence information, auditability, and human oversight.

Methods & focus

  • Competency profiling
  • Multi-stage RAG matching
  • Explainable recommendations
  • Adaptive learning pathways

03 / EVIDENCE & LIMITS

What the work supports

The project’s architecture connects student evidence to competency profiles, opportunity matching, and recommended next steps.

CONTINUE READING / 05

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↗CONTACT & COLLABORATION

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I welcome conversations about research, graduate study, and collaborations in AI evaluation, multilingual NLP, and reliable AI systems.