yash jori

At Codvo.ai, I build data-driven solutions for synthetic data generation, automated validation, and analysis of large structured datasets. I engineered workflows that preserve data relationships, consistency, and integrity while reducing manual effort in development and QA.

I also developed an AI-powered data analyzer that identifies inconsistencies and produces actionable data-quality insights. My work includes processing, transforming, validating, and analyzing datasets across flexible schemas.

Previously, at Prescient Technologies, I contributed to BLE Mesh indoor asset tracking, evaluating connectivity, reliability, power consumption, and system performance. At Pravninyam SoftTech, I investigated backend and database performance issues through debugging, log analysis, data validation, and root-cause analysis.

I've built and deployed projects including AlgoHire, a coding assessment platform with Spring Boot, MongoDB, Redis, Docker, and JWT authentication, and QuickShow, a full-stack movie ticket booking platform. I enjoy solving backend, database, and data-quality problems with Python, SQL, Java, and modern AI tooling.