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Noam Elisha Software Engineer

UC Berkeley M.S. grad specializing in Machine Learning, Data Science, and Backend Development. I build intelligent systems and scalable infrastructure — from ML pipelines to cloud-native applications.

0 Years Experience
0 Projects Built
0 Companies
0 Degrees (UC Berkeley)

Skills & Expertise

From training neural networks to engineering data pipelines, I work across the full stack of modern software and ML systems.

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Machine Learning & AI
PyTorch, SKLearn, CNNs, RL, GAIL — from research to production models
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Data Engineering
SQL, dbt, Snowflake, Pandas — scalable pipelines and data modeling
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Backend Development
Python, Java, C++ — building efficient, high-performance systems
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Cloud & DevOps
AWS (EC2, S3, RDS, EKS), Docker, CI/CD with GitHub Actions
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Data Analysis
Grafana, Quicksight, statistical modeling, optimization with CPLEX
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Software Development
Android, C#/Unity, Qt/C++, full-stack applications and tools

Featured Work

A selection of ML, AI, and systems projects — research-grade and production-ready.

Let's Build Something Amazing

I'm always open to exciting projects, collaborations, or just a good conversation about ML and tech.

Say Hello GitHub