Help & Supportcareers@gravityer.com
Data infrastructure and intelligent systems for underrepresented languages multilingual ASR/TTS, Hardcore Research Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer || Low resource
Data Scientist
June 21, 2026 – Present
academic-research-repo
June 19, 2026 – Present
A standardized, reproducible, and venue-aware template repository for machine learning, NLP, and AI research projects, aligned with the Academic Research & Evaluation Skill guidelines.
View Projectyor_tts_omnivoice
June 17, 2026 – Present
fine-tuned and zero-shot text to speech, finetuned on 9.6hrs of quality data
View Projectyoruba_streaming_stt
June 14, 2026 – Present
Streaming and realtime transcription from speech to text
View ProjectAse_agent
April 29, 2026 – Present
Àṣẹ (ah-sheh) — In Yoruba, the word spoken after a command to affirm it will be carried out. This project brings that power to your Mac: speak in Yoruba, and your computer listens.
View Projectyoruba_ocr_research
April 11, 2026 – Present
This contains all the research, experiment and results of the yoruba ocr research project
View Projectyoruba_automatic_news_classification
January 4, 2026 – Present
Comparision of state of the art models for news classification of yoruba news article with classical machine learning models
View Projectwhatsapp_flag_repeater
November 24, 2025 – November 24, 2025
whatsapp_flag_repeater — repository
View Projectfinetuning_asr
October 28, 2025 – October 29, 2025
Finetuning whisper on low resource data
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated on AI/ML, particularly in low-resource language processing (Yoruba). This specialization indicates a strong passion for this niche but also suggests a potentially narrow breadth of experience outside of this domain. The projects are all personal, which makes it difficult to assess collaboration or experience in a team-oriented corporate environment. The target role is 'Data Scientist', which aligns well with the AI/ML focus, but the lack of diverse project types (e.g., data engineering, business intelligence, A/B testing) might indicate a limited exposure to the full spectrum of data science roles. The experience level is listed as 0, which contradicts the 'AI Engineer || Low resource' role with a future start date, making it hard to gauge actual professional experience.
Soft Skills & Operational Fit
The candidate's project descriptions are brief, making it difficult to assess soft skills like collaboration or problem-solving approach. The focus on personal projects suggests initiative and self-direction. Operational fit is hard to determine without more information on work style or team experience.