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Rahul KumarRK
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Rahul Kumar

@rahulkumar101

Machine Learning Engineer at Boeing building aerospace computer vision and OCR systems with 97%+ accuracy.

India
Message

At Boeing, I developed computer vision and OCR solutions for aerospace drawing extraction, achieving 97%+ model accuracy. My work included stamp detection and H/F alignment correction, reducing reliance on third-party COTS products and saving $50k annually.

I also led the migration of MATLAB-based image services from AIX to Linux, improving processing speed by 40% and memory efficiency by 35%. I integrated Accusoft into secure print flows and engineered SQL/Python ETL pipelines for Tech-Debt analytics.

At NEOASTRA, I built machine learning models for cricket analytics and developed an ONNX-based emotion detection model. My projects include food classification, ocean plastic detection, and an OCR application supporting flight technicians.

Experience

Work history, roles, and key accomplishments

Boeing logoBO
Current

Programmer Analyst (Data Science)

Aug 2024 - Present (2 years 2 months)

Architectured and deployed CV and OCR solutions for aerospace drawing extraction, achieving 97%+ model accuracy. Led AIX-to-Linux migration, improving processing speed by 40% and memory efficiency by 35%.

NE

AI Intern

Neoastra

Sep 2023 - Nov 2023 (2 months)

Built ML/DL models for cricket analytics including ball tracking, bat angle detection, shot direction, and ball speed estimation with 95% accuracy. Implemented custom face detection ONNX-based emotion detection model, improving precision by 30% on 3,068-image dataset.

Boeing logoBO

Former Intern

May 2023 - Jul 2023 (2 months)

Developed stamp detection, whitespace analysis, and H/F alignment correction models, eliminating dependency on third-party COTS products and reducing cost by $50k annually. Integrated Accusoft into secure print flows, solving 5+ critical user stories impacting ~200K users with 99.5% uptime.

CO

Python Developer Intern

Cocreate

May 2022 - Sep 2022 (4 months)

Fabricated YOLO-based object detection model for document stamp recognition achieving 85% detection accuracy. Preprocessed and annotated 1,000+ images to improve model robustness and reduce manual verification time by 40%.

Education

Degrees, certifications, and relevant coursework

Bangalore Institute of Technology (VTU) logoBV

Bangalore Institute of Technology (VTU)

Bachelor of Engineering, Computer Science

2020 - 2024

Grade: 8.8/10

Pursued a Bachelor's of Engineering in Computer Science, achieving a grade of 8.8/10.

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