Marieta Makali

Marieta Makali

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AI Software Developer (TypeScript) | Full-Stack Engineer | AI/ML Pipeline Specialist
Nairobi, Nairobi County, Kenya
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Starting at USD10/hour
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Starting at USD20/hour
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Résumé

Jobs verified_user 0% verified
  • TELUS International AI Data Solutions
    Senior TypeScript Developer & AI Pipeline Engineer
    TELUS International AI Data Solutions
    Jan 2024 - Current (2 years 10 months)
    As a Senior TypeScript Developer & AI Pipeline Engineer, I designed, implemented, and maintained high-quality TypeScript codebases that powered AI model training workflows, including annotation pipeline services, evaluation tooling APIs, and data management applications directly supporting large-scale LLM training initiatives. I architected and delivered scalable Node.js/Express REST API services in TypeScript, effectively handling high-volume annotation data ingestion, structured output processing, and inter-service communication across distributed AI training infrastructure. Additionally, I built React/Next.js frontend applications in TypeScript for AI trainer workflow management, implementing task assignment dashboards, QA compliance tra
  • Ajira Digital
    Senior TypeScript Developer & AI Pipeline Engineer
    Ajira Digital
    May 2023 - Current (3 years 6 months)
  • P
    Software Engineering & AI Trainee
    Power Learn Project (PLP)
    May 2022 - Dec 2022 (8 months)
    • Built AI-integrated software projects in Python and TypeScript — combining speech-to-text APIs, data visualization workflows, and model pipeline integrations to develop hands-on understanding of AI system architecture and software engineering best practices.
    • Participated in responsible AI and ethics hackathons — deepening applied knowledge of AI safety evaluation, bias mitigation, and inclusive dataset design principles directly relevant to AI software development roles.
    • Contributed to AI training and validation pipelines, applying structured risk evaluation to ensure data integrity and model reliability. This experience emphasized systematic error detection and mitigation, which is crucial for maintaining high standards
  • Generation Kenya
    LLM Annotator & AI Model Evaluator
    Generation Kenya
    Feb 2022 - Dec 2025 (3 years 11 months)
  • Telus
    Report Writer
    Telus
    Feb 2022 - Dec 2024 (2 years 11 months)
    Report writing has been a core deliverable across all my AI training and evaluation roles. At TELUS International, I produced structured failure analysis reports documenting root causes of model hallucination, reasoning drift, and instruction non-adherence — written clearly enough for both technical ML engineers and non-technical project leads to act on. At Mindrift, I documented 50+ edge cases per project cycle with full written root cause analysis, guideline improvement recommendations, and inter-annotator consistency findings — all formatted as structured reports submitted to project leads. Across my freelance TypeScript development work, I delivered detailed technical documentation and progress reports to client stakeholders, translatin
  • F
    Full-Stack TypeScript Developer
    Freelance - AI & Tech Clients
    Jan 2021 - Dec 2023 (3 years)
    • Delivered end-to-end TypeScript application development for AI, data, and tech sector clients — architecting full-stack solutions spanning React/Next.js frontends, Node.js/Express backends, REST APIs, and cloud-deployed microservices across web, data, and developer tooling project types.
    • Built TypeScript-powered AI/ML data pipeline applications — designing data ingestion, transformation, and output formatting services that integrated with machine learning workflows and supported annotation and evaluation processes for AI model training clients.
    • Developed REST API services and TypeScript SDKs for developer tooling clients — producing clean, well-documented, reusable libraries with comprehensive Jest test coverage that red
  • TELUS International
    Agile methodologies
    TELUS International
    Jan 2020 - May 2025 (5 years 5 months)
  • M
    Remote Full-Stack Software Engineer
    Mercor (Freelance – Global AI & Tech Clients)
    Jun 2019 - Aug 2024 (5 years 3 months)
    Delivered full-stack solutions for global AI and tech clients, leveraging modern frameworks including Rust for backend microservices and performance-critical modules. Utilized Node.js to develop backend APIs and manage asynchronous workflows, while employing Go for high-performance microservices. Applied Rust’s safety and concurrency features to build scalable, reliable systems integrated with cloud infrastructure. Collaborated with distributed teams to ship impactful code globally, ensuring robust architecture and seamless AI integration, all within a modern stack that includes React.js.
  • Morpheus Talent Solutions
    AI Content Annotator & Reviewer
    Morpheus Talent Solutions
    Feb 2019 - Aug 2024 (5 years 7 months)
    Collaborate with creative and technical teams to enhance AI models used in immersive, story-driven virtual environments. Responsibilities include annotating dialogue, quests, and character interactions, supporting world-building through narrative details, and evaluating AI responses against quality guidelines. This role directly develops proficiency in Entertainment AI training by combining annotation expertise with storytelling and creative content structuring.
Education verified_user 0% verified
  • e
    Certificate in Artificial Intelligence & Machine Learning
    eMobilis Institute of Technology
    Feb 2023 - Oct 2023 (9 months)
  • T
    Certificate in ICT
    Taita Taveta National Polytechnic
    May 2022 - Dec 2022 (8 months)
  • University of Nairobi
    Bachelor of Science – Computer Science
    University of Nairobi
    Jan 2021 - May 2025 (4 years 5 months)
Projects (professional or personal) verified_user 0% verified
  • I
    High-Performance Microservice in Rust
    Independent Contribution / Open-Source Project
    Aug 2023 - Dec 2025 (2 years 5 months)
    Designed and implemented a backend microservice using Rust to handle high-throughput requests with minimal latency. Leveraged Rust’s memory safety and concurrency features to build a reliable, scalable system. Integrated the service with cloud infrastructure and tested performance against Node.js and Go equivalents, demonstrating Rust’s efficiency in real-world workloads. Contributed documentation and code samples to open-source repositories, showcasing practical Rust applications in modern stacks.
  • P
    Narrative World-Building for AI Training
    Personal Project / Freelance Practice
    May 2023 - Current (3 years 6 months)
    Developed sample entertainment-focused AI training datasets by annotating dialogue, quests, and character interactions. Designed narrative scenarios and character profiles to simulate immersive environments for AI models. Practiced evaluating AI responses against quality guidelines, ensuring consistency and realism in entertainment contexts. This project strengthened proficiency in Entertainment AI training by combining creative storytelling with structured annotation workflows.
  • I
    Microservices Deployment
    Independent Contribution
    Feb 2023 - Feb 2026 (3 years 1 month)
    - Architected and deployed TypeScript microservices on GCP Cloud Run and AWS Lambda, implementing CI/CD via GitHub Actions, environment configuration management, and uptime monitoring to achieve 99.7% production service availability.
    - Designed the microservices architecture to specifically support AI model training infrastructure, with each service managing distinct stages of the AI training pipeline, including data ingestion, annotation batch processing, model evaluation API endpoints, and structured output formatting.
    - This deployment facilitated a scalable and reliable data flow between annotation teams and the downstream LLM training systems, ensuring that the AI training workflows had a robust mechanism to receive, proces
  • I
    AI Annotation Data Pipeline
    Independent Contribution
    Feb 2023 - May 2024 (1 year 4 months)
    As an AI Annotation Data Pipeline Engineer, I designed and built a comprehensive TypeScript annotation data pipeline, featuring a Node.js/Express REST API backend and AWS S3 cloud storage integration. This system automated data validation logic, enabling the processing of over 10,000 annotation records daily for LLM training clients, achieving a 40% latency improvement over the previous solution. Additionally, I applied structured risk evaluation techniques throughout the pipeline development process to ensure dataset accuracy, consistency, and reliability. This involved implementing error detection and mitigation strategies, which were crucial for maintaining data integrity and enhancing the overall quality of the annotation process. My ex
  • A
    Agile Sprint-Based AI Training & Software Delivery
    Feb 2022 - Aug 2025 (3 years 7 months)
  • I
    Annotation Management Platform
    Independent Contribution
    Feb 2022 - Jun 2024 (2 years 5 months)
    As an Annotation Management Platform specialist, I successfully delivered a full-stack TypeScript web application designed for managing distributed AI trainer workflows, which included a task assignment engine, a QA compliance dashboard, and a structured output submission interface. This initiative resulted in a 35% reduction in coordination overhead across concurrent annotation projects. I effectively managed annotation workflows and quality assurance processes to ensure data accuracy and consistency. Additionally, my experience in structured dataset design and ethical data handling provides transferable expertise relevant to psychiatric AI development, laying essential foundations for training AI in clinical and forensic psychiatric conte
  • I
    CLI Developer Tooling
    Independent Contribution
    Feb 2022 - May 2023 (1 year 4 months)
    As a CLI Developer Tooling, I built internal TypeScript CLI tools specifically designed for data format conversion, API integration automation, and annotation batch processing, significantly reducing manual developer effort by 3–5 hours per project cycle across distributed engineering teams. These tools were purpose-built to enhance AI model training workflows, automating the annotation batch processing and converting data between formats required by various LLM training pipelines. By handling API integrations between annotation platforms and model training systems, the CLI tools eliminated the need for AI trainers to manually prepare, reformat, and submit data batches. This automation not only reduced errors but also ensured that training
  • I
    LLM Evaluation TypeScript SDK
    Independent Contribution
    Jan 2020 - May 2022 (2 years 5 months)
    As a developer for the LLM Evaluation TypeScript SDK, I created a reusable TypeScript library that abstracts rubric-based scoring, preference ranking, and inter-annotator agreement logic. This library is fully documented with OpenAPI specifications and includes Jest test coverage, ensuring high-quality standards and reliability. It has been successfully adopted across three active AI training client accounts. In addition to my core responsibilities, I applied structured behavior analysis techniques to assess model outputs, identify response patterns, and ensure alignment with quality guidelines. This experience highlights my ability to systematically observe and evaluate responses against expected standards, further enhancing the effectiven
Awards verified_user 0% verified
  • C
    CloudFactory Volunteer Contributor Acknowledgement
    Jan 2024 - Dec 2025 (2 years)
  • A
    Ajira Digital Mentorship Recognition
    Feb 2025 - Feb 2026 (1 year 1 month)
  • C
    Competitive selection into Generation Kenya Digital Skills Program
    Feb 2021 - Dec 2024 (3 years 11 months)