NIsa User
@nisauser2
AI/ML enthusiast & CSE grad passionate about NLP, mental health AI & research. Published author. Building impactful, scalable AI solutions.
What I'm looking for
I've built AI-driven applications and published research on mental health assessment, personalized learning, and stock market prediction. My entropy-based machine learning framework for depression severity assessment achieved 99.2% classification accuracy and was presented at IEEE ICAISET 2026.
At RWS Group, I audit Bangla speech-to-text AI model evaluations, verify task-success labels against transcript evidence, and improve training-data reliability. I also developed MindEntropy, PersonaShield, and PredictGarage using Python, machine learning, APIs, and web technologies, with a focus on NLP, agentic systems, privacy, and applied AI research.
Experience
Work history, roles, and key accomplishments
Audited Bangla and English speech AI evaluations, fixing rater errors and verifying task success against transcripts to boost model training data accuracy.
Education
Degrees, certifications, and relevant coursework
Independent UNiversity, Bangladesh
B.Sc. in Computer Science and Engineering, Artificial Intelligence, Machine Learning, Neural Network, Data Science, Business Analyst
2022 - 2026
Grade: 3.03
Activities and societies: Received Dean Award, Published one research paper in IEEEXplore and presented two already.
Availability
Location
Authorized to work in
Social media
Job categories
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