Engineered an AI powerhouse, uniting Computer Vision, OCR, and NLP NER to precisely extract manufacturer names and model-serial numbers from equipment nameplates, resulting in an increase in user subscriptions and a 70% boost in data quality.

Created comprehensive custom library for Google Maps, resulting in a 10% boost in component utilization by user.

Implemented an ETL process, resulting in a 25% improvement in data quality and usability within the Equipment Libraries.

Implemented efficient nomenclature search, leveraging rule-based transformations to overcome the challenge of non-straightforward data linkage with SQL databases and significantly improving search output by 50% over a REST API end-point.

Developed machine learning models to capture Make, Model and Serial numbers that leverages both on-device and cloud computation to provide quick responsive and best user experience.

Leveraging rule-based transformations to overcome the challenge of non-straightforward data linkage with SQL databases.

• Initiated the development of an AI pipeline, incorporating key algorithms and techniques to enhance the project outcome.

Streamlined deployment tasks on multiple servers by creating customized Bash scripts, saving approximately 2 hours of time and effort per day.

Handled a variety of tickets, with a focus on 20% enhancements, and addressed 80% of bug-fixing tickets.

Created & Implemented HLD and LLD for a our client Ford "Feed To IMPRS" system (UI-DB-BE).

Implemented MViews &Logs, and SQL Job to reduce the query time by 80% and automate overnight data processing.