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About

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Emmanuel Karibiye

Co-founder & CTO
CallCrewAI
Say Hi!

Hi, I'm Emmanuel Karibiye, a Software Engineer based in Dublin, Ireland. I'm currently the Co-founder and CTO of CallCrewAI, where we're building AI solutions to transform how trades, facilities, and field-service firms operate. I'm passionate about many areas of Computer Science, especially Artificial Intelligence, LLMS, Fullstack Development, Reinforcement Learning, UI/UX Design. I enjoy exploring how tech intersects with creativity and real world problems.

Outside of work, I'm really into fashion, music, and sports. I play both piano and guitar, and I never miss a chance to get out on the football pitch. These interests keep me balanced and constantly inspired in different ways.

If you'd like to work with me, feel free to reach out via any of my contacts.

This site is inspired by the following templateexternal link by Parth Desai.

Experience

Co-founder & CTO  @  CallCrewAI
August 2025 - Present
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Architecting and executing technical strategy for an AI-powered platform serving trades, facilities, and field-service businesses
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Leading full-stack development, infrastructure scaling, and AI/ML integration to deliver 24/7 automated solutions
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Driving product roadmap and technical decisions to scale from MVP to production platform with active paying customers
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Production Engineer Fellow  @  Meta X MLH
June 2025 - Present
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I do production engineer projects under the guidance of mentors and Meta engineers.
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Less than a 2.5% acceptance rate.
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Software Engineering Intern | Data Integrity  @  JP Morgan Chase & Co.
June 2024 - August 2024
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Developed a back-end application using Java Springboot, Terraform, Docker and AWS to perform data validation and quality checks
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Developed a REST API using Springboot and MySQL to store the data
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Resolved complex bug issues regarding data quality and hence helped in maintaining the data security of 80 million+ clients worldwide
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Data Analyst Intern | Applications  @  Wuxi Biologics
Jan 2023 - September 2023
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Performing data analytics and visualizations involving large amounts of data
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Automated the creation of several dashboards to save time and improve efficiency in the team using R, python, SQL, and Tableau
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Resolved database issues on Microsoft SQL involving 50k+ rows.
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Mechanical Engineering Intern | Design  @  Silent Aire
July 2022 - September 2022
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Carrying out pressure/Leak analysis on the doors and coming up with a design solution hence boosting its efficiency
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Designing plans and specifying dimensions to be followed in building HVAC systems for data centers.
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Observing and documenting the Standard operating procedures for each role involved in building our hyperscale ventilation systems which may vary depending on the specifications of the customer
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