Open to opportunities

Fotimakhon Gulomova

@fotimakhongulomova

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Undergraduate AI researcher focused on explainable NLP and human-centered machine learning.

Uzbekistan

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What I'm looking for

I seek research or engineering roles in explainable AI/NLP that emphasize transparency, collaboration, hands-on model development, and ethical, human-centered impact.

I am an undergraduate AI student specializing in machine learning, natural language processing, and explainable AI, currently completing a B.Sc. thesis on emotion- and topic-aware explainable mental health detection from Reddit posts.

I have built and evaluated multi-class NLP models that combine emotion analysis, topic modeling, and explainable methods to detect co-occurring mental disorders, and I have developed edge-deployable deep learning applications for age, gender, and expression recognition using PyTorch and EfficientNetV2.

My portfolio includes topic modeling comparisons (BERTopic vs LDA), a Dockerized sensor batch storage system, and other data engineering and AI projects; I have received awards including 1st Place at Hacknovation 2024 and 2nd Place at NASA Space Apps Uzbekistan 2024.

I am driven by research in transparent, responsible AI and aim to contribute to human-centered, ethically aware AI systems through rigorous research, open-source development, and collaborative teamwork.

Experience

Work history, roles, and key accomplishments

Current

AI Research Intern

Current

IT Community of Uzbekistan

Apr 2024 - Present (1 year 8 months)

Volunteered with the IT Community of Uzbekistan to support events and initiatives, expanding professional network and improving teamwork and leadership skills.

Teamwork Leadership Problem Solving event support Community Outreach Networking Communication

Undergraduate Researcher

IU International University of Applied Sciences

Dec 2021 - Dec 2025 (4 years)

Conducting a B.Sc. thesis on emotion- and topic-aware explainable detection of mental disorders from Reddit posts, combining topic modeling, emotion analysis, and explainable AI techniques.

NLP Explainable AI Topic modeling PyTorch BERTopic LDA)Data Analysis Model Evaluation LDA

Education

Degrees, certifications, and relevant coursework

IU International University of Applied Sciences

Bachelor of Science, Applied Artificial Intelligence

2021 -

Activities and societies: Thesis project on explainable mental disorder detection; projects in edge-deployable deep learning, topic modelling (BERTopic & LDA), and data engineering; volunteer at IT Community of Uzbekistan.

Pursuing a Bachelor of Science in Applied Artificial Intelligence with coursework in machine learning, deep learning, NLP, computer vision, and AI ethics; currently completing a thesis on explainable mental health detection using emotion and topic modeling.