Daniel Bar Lev
Software Developer
BSc. in Computer Science | Israel, Central District
Available for opportunities in Software Engineering, ML/Data Science, and AI Research
Software Developer
BSc. in Computer Science | Israel, Central District
Available for opportunities in Software Engineering, ML/Data Science, and AI Research
Independent and fast-learning software developer who thrives in dynamic environments and consistently delivers results. Strong foundation in AI, LLMs, and computer vision, skilled in Python, Docker, AWS, and modern data workflows. Combines academic excellence with production-level experience and a research-driven approach to innovation.
My work spans from NLP research and LLM interpretation to computer vision applications, including diffusion models, ray tracing, and motion synthesis. I'm passionate about pushing the boundaries of what's possible with AI and creating innovative solutions to complex problems.
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Demoes and detailed documentation available in each repository's README
Education
Strong foundation in AI, LLMs, and computer vision
Part-time at Israel Air Force
Initiated and led an end-to-end automation project that streamlined departmental workflows, delivering an operational Python tool used daily to save significant time and resources.
Owned the full development lifecycle, from design and implementation to delivery and maintenance, ensuring the tool's reliability, efficiency and lasting value to the unit.
University of Michigan
Deep Learning for Computer Vision
Comprehensive course covering convolutional neural networks, image classification, object detection, and advanced computer vision techniques using deep learning frameworks.
Wingate College
Certified instructor qualification covering exercise physiology, training program design, injury prevention, and leadership in physical fitness and wellness programs.
Microsoft
Microsoft Certified Solutions Associate certification demonstrating expertise in Windows Server administration, network infrastructure, and system configuration. Specialized knowledge in networking protocols, TCP/IP, DNS, DHCP, and network troubleshooting.