Promise Pal

Senior Systems Engineer, AI Specialist, and Multidisciplinary Technologist with deep expertise in distributed backend architectures, full-stack web applications, and technical AI evaluation workflows. Experienced in building high-throughput, latency-sensitive Python, JavaScript/TypeScript, and Swift infrastructures alongside hands-on graphics rendering, dataset engineering, and simulation. Seamlessly bridges core software engineering with spatial data analysis (GIS), scientific data visualization, parametric CAD design, and interactive media.

Highly skilled at leading remote, cross-functional technical teams, designing technical documentation, and deploying robust data visualization pipelines to build scalable, production-grade systems in demanding environments.

Senior Full-Stack / AI Engineer - Handshake AI - United States

(2025-01)

• Architected and maintained distributed backend services supporting high-throughput processing for automated AI evaluation pipelines.
• Developed asynchronous, low-latency REST APIs using FastAPI, Next.js, and Redis, scaling write-heavy operations.
• Engineered caching layers and decoupled heavy background jobs using Redis-backed queues, yielding substantial latency reductions.
• Designed structured model evaluation frameworks, improving LLM output accuracy, prompt durability, and security alignments.

Full-Stack Software Engineer - Outlier AI - United States

(2024-01)

• Built reactive internal dashboards for visualization of LLM training outputs and interactive human preference data collection.
• Built scalable database schemas and automated workflows to track grading trends and programmatic evaluation annotations.
• Optimized SQL indexing, query structures, and asynchronous background worker threads to manage massive volumes of dataset records.
• Analyzed, profiled, and benchmarked code snippets to isolate and remediate memory leaks and performance regressions.

AI Training & Technical Project Specialist - Freelance Remote Contractor - Remote

(2023-01)

• Engineered high-fidelity dataset projects and spatial, physical, and mechanical simulation models used for training multimodal AI.
• Designed GIS mapping pipelines and advanced terrain analysis projects utilizing QGIS and spatial dataset overlays.
• Developed custom ParaView scientific visualization projects and reconstructed 3D medical datasets from DICOM sources.
• Built parametric CAD prototypes, mechanical assemblies, and technical mechanical schematics in FreeCAD.
• Authored clean, exhaustive technical documentation, workflow guides, and step-by-step verification protocols.

Software Engineer - Scale AI - United States

(2023-01 - 2024-12)

• Developed high-throughput data processing and orchestration pipelines to handle massive ML training datasets.
• Implemented parallel processing techniques to speed up heavy file parsing and dataset validation.
• Built internal automation tooling to test, deploy, and monitor backend evaluation workloads.

Machine Learning Engineer - IBM - United States

(2022-01 - 2023-12)

• Scaled machine learning model serving microservices within Kubernetes, ensuring low response latency.
• Integrated robust CI/CD routines for automated linting, unit testing, and deployment of natural language processing services.
• Cleaned, transformed, and managed complex enterprise-scale databases, providing refined assets for training pipelines.

Doctor of Philosophy (PhD) - Software Engineering - Massachusetts Institute of Technology (MIT) (2023-01 - 2026-12)

Master of Science (MSc) - Software Engineering - Massachusetts Institute of Technology (MIT) (2020-01 - 2023-12)

Bachelor of Science (BSc) - Software Engineering - Massachusetts Institute of Technology (MIT) (2016-01 - 2019-12)

Diploma - Computer Science - Kenya Institute of Software Engineering (2021-01 - 2023-12)