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@0009204

Software developer at VAST Data × KamaTech building Python RAG indexing quality checks, with a chunking optimization that cut processing time to 0.165 seconds.

Israel

Message

At VAST Data × KamaTech, I developed quality-control layers for the DataNet Python RAG indexing pipeline, including document validation and an OpenSearch index integrity checker. I also optimized text chunking, reducing processing time from 69.5 seconds to 0.165 seconds for 64,000 lines in a local synthetic-data benchmark.

At the Income Tax Authority, I developed screens and workflows for an internal emergency-management system, implementing Angular forms and a layered C# backend with SQL Server. My projects include a modular REST API with JWT authentication and an in-memory database engine in Java.

Experience

Work history, roles, and key accomplishments

Current

AI Development Bootcamp Participant

Current

VAST Data

Jun 2026 - Present (5 months)

Developed quality-control layers for a Python-based RAG indexing pipeline, including document validation, OpenSearch index integrity checks, and reconciliation tools. Optimized text chunking and parallelized S3 downloads, reducing processing time significantly.

Python RAG OpenSearch S3 Prometheus Grafana Pydantic Parquet AWS SDK (Boto3)ThreadPoolExecutor Pytest Ruff Mypy GitHub Actions

Full Stack Developer Practicum

Income Tax Authority

Feb 2026 - Jun 2026 (4 months)

Developed screens and workflows for an internal emergency-management system using Angular and C#. Implemented REST API integration, layered backend architecture, and collaborated via GitHub Pull Requests and code reviews.

Angular C#REST APIs SQL Server GitHub Code Review