A
abiolla's photo
Abiolla James-Lord
From Kenya 12:19 PM (GMT-03:00)
$12/hr or $20,000/yr

Active 1 hour ago


Share this profile:

Full-Stack Developer (Back-End Heavy)

Full-Stack Engineer
Available for hire
Years of experience
4+ years
Experience level
Mid-level
Available for
Full-time, Part-time, Contract, Freelance, Internship
Available from
22 Sep 2026
Download Resume / CV

I am a software developer who builds data-driven applications that turn complex information into practical, real-world solutions. My focus is on designing scalable back-end systems and full-stack applications that help users make faster, better-informed decisions.

I have contributed to the development of a flood impact prediction platform used by 20+ decision-makers, where I worked on back-end services and frontend integrations to improve data accessibility and visualization. Through performance optimization and improved data workflows, the system reduced flood data analysis time by 7% and increased user engagement by 30%, enabling more efficient planning and response.

My interests sit at the intersection of software engineering, data, and business strategy. In addition to my development work, I have completed formal training in data analysis and I am currently advancing my skills in data science, allowing me to bring analytical thinking and measurable impact into the software products I build.

Beyond code, I value collaboration, mentorship, and continuous learning. I have supported peer learning in data analytics and enjoy working with diverse teams to solve meaningful problems. If you are building data-driven products or looking for a developer who blends engineering with analytical insight, let us connect and explore how I can contribute to your team.

Languages

Employment History

Software Developer at FLIPS Intelligence Current 2023 - Now
I contributed in building data-driven systems that support real-world decision-making, with a strong focus on usability, performance, and reliability. - Built and delivered responsive, data-driven dashboards for flood impact prediction, improving usability and increasing user engagement by 30% through optimized UI/UX workflows and real-time updates. - Engineered seamless integrations between frontend applications and backend services, implementing efficient API consumption patterns for live weather and geospatial data, reducing data retrieval latency by 70%. - Developed real-time flood-risk visualizations using Chart.js and custom rendering logic, enabling emergency response teams to interpret risk levels faster and make more accurate decisions. - Collaborated closely with cross-functional teams to align technical solutions with decision-maker needs, improving system reliability and overall user confidence in the platform. - Contributed to a platform used by 50+ decision-makers, supporting faster planning and reducing flood data analysis time by 10%.

Education

Bachelor of Information Technology at Maseno University 2019 - 2023