Hi, I’m
KEVIN ISAAC KAREITHI
Assistant Software Engineer
Nairobi, Nairobi Province,30
Summary
Results-driven software engineer with extensive experience in software development, data science, and analytics. Over two years of hands-on expertise in crafting machine learning solutions, building data pipelines, and implementing enterprise-level information management systems. Proven ability to transform complex data challenges into actionable insights across the financial, development impact, and agricultural sectors. Committed to delivering innovative solutions through full-stack development, machine learning model deployment, and API integration while effectively bridging the gap between technical execution and commercial objectives.
Overview
4
years of professional experience
3
Certifications
4
years of post-secondary education
Work History
FSD AFRICA
Assistant Software Engineer
05.2024 - Current
Job overview
- Improved internal knowledge sharing through Project Daisy - by AI integrations to DI reporting systems "Daisy". I successfully integrated into the impact management system (DIMIS), resulting in the creation of an intelligent assistant that enables teams throughout the organization to more effectively communicate their impact stories and to instantly access institutional knowledge that was previously hidden in reports and databases.
- Revolutionized monitoring using GIS technologies - Built and installed Geographic Information Systems that dramatically altered how we monitor and assess development effect, offering stakeholders a visual, map-based knowledge of where our interventions are making the largest difference.
- Enhanced DIMIS platform capabilities - Continuously enhanced our flagship Development Impact Management Information System by introducing strong new features that ease how teams throughout the company gather, evaluate, and report on their impact data.
- Created captivating data stories with interactive dashboards - Designed and created dynamic React-based dashboards that seamlessly combine Tableau and Power BI visuals, translating complicated development data into simple, actionable insights that decision-makers really want to use.
- Solved major system optimization issue and scaled DIMIS for multi-donor reporting and multiple tenancies - Quickly detected and repaired technical issues that kept our impact systems working smoothly, providing zero downtime for teams monitoring millions of dollars in development expenditures and fast and reliable systems.
- Maintained a keen focus on user-centered design principles throughout the software engineering process, resulting in highly intuitive and easy-to-use DIMIS interfaces.
FSD AFRICA
Software Engineer Intern
08.2023 - 02.2024
Job overview
- Spearheaded the design and development of innovative features on the DIMIS platform, utilizing ASP.NET C# to enhance functionality and the user experience.
- Transformed user interfaces of login, user profile and other key pages, improving navigation.
- Developed a digitized intervention tracker into a dynamic portfolio page to streamline monitoring.
- Resolved bugs through debugging, ensuring optimal performance of the platform.
- Participated actively in team meetings, supervisor catch-up sessions, and cooperative conversations to improve task comprehension, communication, and collaboration.
- Spearheaded integration of AI chatbots technology (Project Daisy) into the DIMIS platform, including model training and response optimization.
- Analyzed software performance metrics to identify areas for improvement and implement necessary changes to optimize system efficiency.
DSAIL - Centre for Data Science and Artificial Intelligence
Undergraduate Research Assistant
06.2022 - 04.2023
Job overview
- Developed and implemented machine learning algorithms for applications in health, agriculture, and environmental conservation, demonstrating a strong interest in these fields.
- Created data collection pipelines for IoT applications using Python, C/C++, and R, showcasing strong programming skills and versatility.
- Conducted in-depth research on machine learning methods and their applications, resulting in the production of comprehensive technical reports.
- Supported faculty researchers, assisting with experiment design and implementation DSAIL web page using bootstrap studio.
Kenya Climate Smart Agriculture Project
ICT Attaché
01.2022 - 04.2022
Job overview
- Applied data science techniques to analyze large datasets, cleaning datasets and visualizations related to weather patterns, crop yields, and other agricultural factors, and used this information to inform the project's initiatives.
- Developed software solutions to support the project's goals, including data analysis tools, mobile applications, and web-based platforms.
- Conducted research on emerging technologies and best practices in the field of agricultural technology and made recommendations for their adoption within the project.
Education
Dedan Kimathi University of TechnologyNyeri, Kenya
Bachelor of Science from Computer Science
04.2019 - 04.2023
University Overview
- Degree Awarded with Second Class Honors, Upper Division
Koelel High SchoolNakuru, Kenya
High School Diploma
04.2001
Skills
Python Programming: Experience with common data science programming languages, such as Python, R, Spark, MatLab, Java and C
Data Visualization: Experience with data visualization tools, such as Qclick, Tableau, and PowerBI
Web development: Proficient in responsive web development (Django, React, JavaScript) Skilled in crafting dynamic and responsive web applications using a comprehensive tech stack, including expertise in JavaScript, CSS, and ASPNET
Software Engineering: Knowledgeable in cloud computing technologies such as Amazon Web Services (AWS) and Microsoft Azure, with experience in creating software that can scale to meet the needs of users and stakeholders
Communication: Demonstrated effective communication skills through collaboration with team members and managers
Data-Driven Decision Making: Contributed to a robust foundation for informed decision-making through the construction of comprehensive databases and thorough data analysis
Data Science: Expert in data analysis and data science using Python and machine learning libraries (TensorFlow, Keras, NumPy, Matplotlib, Pandas)
Machine Learning Expertise: Excellent in k-NN, Naive Bayes, SVM, Decision Forests, and Neural Networks and frameworks, TensorFlow, Keras, and scikit-learn
Accomplishments
- Handwritten Neural Network Recognition Model
Developed a model using CNN and RNN techniques to accurately recognize and classify handwritten characters and digits. - Ransomware Detection Model
Designed and implemented a machine learning model to identify and prevent the spread of ransomware. - Wrong Sitting Posture Detection
Created a real-time posture detection application using computer vision and CNN to analyze human postures and provide feedback on whether the sitting posture is correct or wrong according to the sitting guidance.
Certification
Machine Learning, Standard University Online https://www.coursera.org/learn/machine-learning/ (2022)
References
- Arthur, Ndegwa, Senior Manager, Development Impact, arthur@fsdafrica.org, FSD Africa
- Ciira, Maina, Director at DSAIL-DEKUT, ciira.maina@dkut.ac.ke, DSAIL
- George, Musumba, Dean Computer Science and IT at Dedan Kimathi University of Technology, george.musumba@dkut.ac.ke, DeKUT
Timeline
Market Systems Development Technical Course
07-2025
Assistant Software Engineer
FSD AFRICA
05.2024 - Current
ALX - Software Engineering Cohort 13
03-2024
Software Engineer Intern
FSD AFRICA
08.2023 - 02.2024
Undergraduate Research Assistant
DSAIL - Centre for Data Science and Artificial Intelligence
06.2022 - 04.2023
Machine Learning, Standard University Online https://www.coursera.org/learn/machine-learning/ (2022)
03-2022
ICT Attaché
Kenya Climate Smart Agriculture Project
01.2022 - 04.2022
Dedan Kimathi University of Technology
Bachelor of Science from Computer Science
04.2019 - 04.2023
Koelel High School
High School Diploma
04.2001