Nitai Aharoni
Co-Founder at Stealth Startup
Tel-Aviv District, Israel
Summary
👤
Senior🎓
Top SchoolNitai Aharoni is a hands-on VP R&D based in Tel Aviv with eight years of full-stack engineering experience and a track record of scaling SaaS platforms and microservices. He leads a 12-person engineering team at Oobit after rapid progression from team lead, and previously built backend and frontend systems at Fireblocks, Jit, Dynamic Yield and SAP using Node.js/TypeScript, Python, Ruby on Rails, React, and cloud-native tooling. Nitai combines operational discipline from his Israeli Air Force officer background with pragmatic engineering—designing billing, tenant, audit, and notification services while owning end-to-end product features. He is comfortable across the stack, from Kubernetes and serverless AWS Lambdas to frontend performance and CI/CD infrastructure, and has a penchant for shipping robust developer tooling and reusable component systems. Colleagues describe him as a delivery-focused leader who balances technical depth with team enablement and measurable product outcomes.
8 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at Reichman University
Hebrew, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (54)
localstorage10
semantic-similarity10
agentic10
git-workflow10
cosine-similarity10
javascript9
npm9
redux9
crypto9
blockchain9
sdk9
claude9
nodejs9
backend9
server-side8
Programming languages (4)
Github contributions (5)
nitaiaharoni1/react-restaurant-app
Jul 2019 - Nov 2020
Mama's Restaurant is an ecommerce website built using React, Redux integrated with Node.js and Express backend.
Contributions:53 commits, 1 PR, 120 pushes in 1 year 3 months
backendecommercenodejsreactredux
nitaiaharoni1/vector-storage
May 2023 - Dec 2024
Vector Storage is a vector database that enables semantic similarity searches on text documents in the browser's local storage. It uses OpenAI embeddings to convert documents into vectors and allows searching for similar documents based on cosine similarity.
Contributions:45 pushes, 1 branch in 1 year 7 months
cosine-similaritylocalstorageopenaisemantic-similarityvector-database
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