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Karanja UserKU
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Karanja User

@karanjauser

Machine Learning Engineer driving high-accuracy computer vision and automation solutions with leadership experience.

Kenya
Message

What I'm looking for

I seek roles building and deploying production ML systems (especially computer vision) in collaborative teams, with opportunities to lead projects and scale impact.

I am a Machine Learning Engineer with four years of experience architecting and deploying AI solutions that improve decision-making, automate workflows, and deliver high-accuracy computer vision systems. I have led large cross-functional teams and built real-time models (CNN, LSTM, YOLO) achieving production-grade results.

My work spans computer vision, NLP (speech, gesture, OCR), MLOps and business process automation, with hands-on experience in model deployment, cloud infrastructure and end-to-end data pipelines. I focus on delivering reliable, scalable systems that drive operational impact and improve user outcomes.

Experience

Work history, roles, and key accomplishments

WE

Lead Machine Learning Engineer

Weedbot

Jan 2022 - Dec 2023 (1 year 11 months)

Directed a 40-person global team to develop a computer vision-powered laser weeding system and built a real-time CNN+LSTM classifier achieving 98% crop-versus-weed accuracy while reducing manual intervention by 80%.

RE

Machine Learning Engineer

RenewSenses

Jun 2021 - Oct 2021 (4 months)

Engineered real-time object recognition and OCR models for an AI assistant aiding visually impaired bus users, enabling reliable bus identification and vacant-seat detection to increase accessibility.

Education

Degrees, certifications, and relevant coursework

WorldQuant University logoWU

WorldQuant University

Master of Science, Financial Engineering

2025 - 2026

Enrolled in and completing an MSc in Financial Engineering program at WorldQuant University from October 2025 to 2026.

KU

Kenya Methodist University

Bachelor of Science, Mathematics & Computer Science

2018 - 2022

Completed a Bachelor of Science in Mathematics and Computer Science from May 2018 to November 2022.

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