Spark AI
Hackathon winner · Accessible education
Data Scientist & AI Engineer, and an MSc Data Science student at Óbuda University in Budapest. I build machine learning systems, data pipelines, and agentic AI tools, with experience across banking, analytics, and e-commerce.
My work spans fraud detection, NLP assistants, large-scale analytics, and AI-powered production workflows. I also perform research on different AI & Data Science Topics.
Career
AI Production Engineer · ContractSpice Media Production, Budapest : Agentic AI for e-commerce content, production, and post-production workflows.
Data ScientistKapital Bank, Baku : Fraud detection, cash-replenishment pipelines for 1,000+ ATMs, and an NLP customer-service assistant.
Data ScientistBIRainy, Baku : Python and SQL analytics, Power BI reporting, and OCR document pipelines.
Education
MSc in Data ScienceÓbuda University, Budapest : Machine learning, statistical analysis, data pipelines, and reproducible research. TDK paper on benchmarking open-source LLMs for Azerbaijani, Fall 2025.
BSc in Information TechnologyAzerbaijan State Oil and Industry University : Google DSC, Innovation Club, and Debate Club; workshops, hackathons, and interdisciplinary teams.
Based in Budapest, Hungary.
The challenge
A team-built learning platform designed around different accessibility needs. Spark explores personalized learning materials for dyslexia, ADHD and color blindness, alongside virtual laboratory experiences for learners without physical lab access.
Teknofest 2024 · T3 AI Hackathon · 1st place
2024
Zaman Kazimov, Ali Hasanli, Arzuman Abbasov, Isa Guliyev
What we built
The project brings together adapted learning content, short videos and interactive experiences. Generating media is asynchronous, so the application also needs to coordinate background processing and make generated material available when it is ready.
My contribution
Our team built a learning interface and a Django backend with PostgreSQL, Redis and Celery. The workflow supports document inputs, generated videos and narration, learner feedback and teacher-facing functionality. I contributed as one of four team members.
Outcome & demo
Our Spark team won first place in the T3 AI Hackathon at Teknofest 2024. The university’s coverage documents the win and credits all four team members. Application screenshots show the learning prototype; the award photograph records the team’s achievement.
