Kweku Anyen

Recruiter view

Kweku-Abeiku Attah Anyen

Software engineer and AI researcher · Accra, Ghana

Strongest work

Experience

  • SyneroLabsSoftware Engineering Intern — Full-Stack & Platform · 2026–now
  • iSpace FoundationVideo and Visual Department Lead · 2021–2025
  • Wode MayaVideo Editor, Documentarian & Videographer · 2025
  • Brothers in HueCo-Founder & Media Specialist · 2019–now
  • AirtelTigoTech Support · 2018

Education

  • MPhil, Intelligent Computing SystemsAshesi University · Expected May 2027
  • BSc, Computer ScienceAshesi University · May 2021

Core tools

PythonTypeScriptReactNext.jsNestJSFastAPIPostgreSQLLangGraphPyTorchDocker
email me nowCVLinkedIn
Accra, Ghana

2025 · Healthcare AI

MediVoice

Clinical consultation transcription with medical NER for symptoms, diagnoses, and medications.

3clinical entity types extracted: symptoms, diagnoses, medications
My role
Designed and built the app, including the ASR pipeline and the medical NER layer.
Result
Consultations are transcribed in real time, with symptoms, diagnoses and medications pulled out automatically.
Built with
TypeScript, ASR, NER, Next.js
MediVoice, live consultation view

Problem

Doctors lose consultation time to note-taking, and general-purpose speech models stumble over clinical vocabulary.

My role

Designed and built the app, including the ASR pipeline and the medical NER layer.

What I built

  • Real-time consultation transcription
  • Medical NER for symptoms, diagnoses, and medications
  • Domain-adapted vocabulary handling

Outcome

Consultations are transcribed in real time, with symptoms, diagnoses and medications pulled out automatically. The app is live.