Curiosity
Ask the better question and follow it through the whole system.
Researcher and technology professional with a background in ecology, AI and data systems. I also build games and explore interactive experiences.

About
I started in animal sciences, studying ecology, conservation and animal behavior. That interest led me to bioacoustics: using sound to understand the natural world.
During my M.Sc. in Biotechnology, I developed a bird species identification system using signal processing and deep learning. I worked across the research process, from collecting and preparing data to developing models and presenting the results.
At the Hebrew University, I managed the technical infrastructure behind animal movement research. At ATC-Technologies, I worked on computer vision, real-time data processing and the practical work of keeping complex systems running.
My independent projects bring that same curiosity into games and tools — exploring how rules, interaction and technical systems come together.
Working draft
Ask the better question and follow it through the whole system.
Make decisions, interfaces and explanations easier to understand.
Use prototypes and evidence to turn uncertainty into progress.
Build honestly, verify claims and respect the context around the work.
Experience
ATC-Technologies
Developed algorithmic solutions for real-time data processing and computer vision. Worked with engineering teams to improve system stability, troubleshoot hardware and software, and optimize workflows.
Documented the system’s components and data architecture, and created technical guides for clients and internal teams.
Hebrew University · System Administrator
Managed Linux servers, SQL databases and data pipelines supporting animal movement research. Automated processes and resolved system failures to keep biological data reliable and accessible.
Managed the lab’s technical and data infrastructure end-to-end, and developed guides that helped researchers access field data and analysis tools independently.
Tel-Hai Academic College · Research
Developed an automated bird species identification system using signal processing and deep learning, from data collection and preprocessing through model development and analysis.
The research led to a peer-reviewed publication in Ecological Informatics in 2024.
Toolkit
Python, SQL, R, MATLAB and SPSS. Data preparation, statistical analysis, signal processing and deep learning.
Linux servers, databases, data pipelines, automation, diagnostics and technical documentation.
Independent game projects, gameplay experiments and tools. Connecting systems thinking with interactive experiences.
Bioacoustics, animal movement research and GIS. Audio work in Audacity and visual work in Photoshop.
Languages Hebrew · Native English · Proficient Spanish · Basic
Education & Research
Tel-Hai Academic College
Signal processing and deep learning for automated bird species identification.
Tel-Hai Academic College
Ecology, nature conservation and animal behavior. The starting point for my bioacoustics research.
Andrew Ng · Coursera · 5 courses
Supervised learning, convolutional and recurrent neural networks, optimization and model evaluation.
Publication · 2024
Lavner, Y., Melamed, R., Bashan, M., & Vortman, Y.
Ecological Informatics, Volume 80
Read the paperContact
Open to new opportunities in research, technology and development.
BashanMoshe@gmail.com