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Sevda Mocheva

@sevdamocheva

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Multimodal ML researcher and software engineer focused on healthcare AI and production-ready tooling.

Bulgaria

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What I'm looking for

I am looking for a role applying multimodal ML and software engineering in healthcare or research-driven teams that values collaboration, reproducibility, and production deployment.

I am a computer scientist with hands-on experience fine-tuning multimodal large models and building production features for analytics platforms. I combine deep learning research (GNNs, CNNs, transformers) with practical software engineering using Python, Django, and modern devops practices.

My dissertation produced a hybrid GNN–RNN framework for neural activity prediction, achieving 96% accuracy and producing interpretable connectivity heatmaps. In internships I enhanced visual-language models for healthcare, annotated large visual datasets, and shipped interactive analytics features that increased client engagement.

I thrive in cross-functional teams, translating research into robust systems and clear reports, and I seek roles where I can advance multimodal AI applications while contributing engineering best practices and reproducible pipelines.

Experience

Work history, roles, and key accomplishments

AI Research Intern

Shanghai Jiao Tong University

Jul 2025 - Aug 2025 (1 month)

Enhanced and fine-tuned Qwen 2.5 visual-language models (3B and 7B) for healthcare domain tasks and improved zero-shot classification via annotated visual data pipelines. Collaborated with cross-functional research teams to advance multimodal analysis and automated report generation.

PyTorch Hugging Face OpenCV Python Data Annotation

Computer Science Student Ambassador

University of Birmingham

Oct 2022 - Jul 2025 (2 years 9 months)

Presented technical content at ambassador events and translated complex computer science topics into accessible language to prospective students and partners. Supported outreach activities across the university.

Public Speaking Technical Communication Outreach Event Coordination Community Engagement

Software Engineering Intern

Verisk

Jun 2024 - Aug 2024 (2 months)

Built an interactive chart feature for an analytics platform that increased client usage by 15% and contributed backend (Django) and frontend (Angular) changes while working in Agile sprints. Collaborated with dev and DevOps teams to improve testing and CI/CD workflows.

Python Django Angular TypeScript PostgreSQL REST APIs Docker CI CD

Data Analysis Intern

Co-Opts

Feb 2024 - Apr 2024 (2 months)

Developed a lexicon-based sentiment classifier using VADER and NRC lexicons to enhance therapist sessions and the startup's text analytics engine. Collaborated within a team to integrate sentiment insights into product workflows.

NLP VADER NRC Lexicons NLTK Python Data Analysis Text Analytics

Education

Degrees, certifications, and relevant coursework

University of Birmingham

Master of Science (Integrated) (MSci) Computer Science, Computer Science

2020 - 2025

Activities and societies: Computer Science Student Ambassador; dissertation on neural activity modelling; coursework in ML, NLP, and deep learning.

MSci Computer Science with Study Abroad focused on advanced computer science topics, multimodal ML, and a dissertation on spatio-temporal modelling of neural activity.