01 / Selected work
A focused selection of work across audio ML, real-time decision systems, and semantic interfaces.
A modular audio ML platform for consent-based singing-voice conversion, spanning dataset validation, model adapters, durable jobs, evaluation, an API, and a local interface.
Designed the system around explicit consent, reproducible datasets, isolated model adapters, and honest capability reporting instead of unmeasured quality claims.
Explore the repositoryA production-style portfolio system that turns payment events into calibrated fraud probabilities, policy decisions, alerts, drift reports, and operational views.
Built an end-to-end system that separates model risk from business policy while connecting streaming, point-in-time features, monitoring, and analyst workflows.
Explore the repositoryA semantic assistant that uses sentence-transformer embeddings and similarity search to understand Banking77 intents and return conversational responses.
Connected an embedding-based intent workflow to a focused Streamlit interface, turning an NLP experiment into an end-to-end demonstration.
Explore the repository02 / Building now
Building early-stage products while staying close to the technical and strategic decisions that shape them.
Co-Founder
A consumer social product currently being developed and tested. My work spans product thinking, technical implementation, and the process of turning an early-stage concept into a real application.
Co-Founder
The studio context behind current and future technology products, where I contribute across product direction, technical decisions, and early-stage company building.
Visit Kesila Studio03 / About
I'm a Computer Science graduate focused on applied artificial intelligence, machine learning, and data-driven product development.
My work spans NLP, neural systems, data analysis, and product engineering, with a particular interest in moving from a problem or idea through experimentation, modeling, implementation, and a product people can use.
Alongside technical work, I'm building early-stage products as a founder—contributing to product direction, technical decisions, and company building.
04 / Path
01
Experience
Data Science Intern
Worked with Python, data analysis, visualization, and Power BI in a professional data environment.
02
Education
Computer Science
Bachelor's-level education in Computer Science.
03
International study
Erasmus study experience, Germany
Completed an Erasmus study period in Germany.
05 / Contact