Anthony Gacheru

Data Scientist with 7+ years of experience across data analytics, machine learning, and AI quality systems, transitioning into Generative AI and LLM powered applications. Strong background in Python based ML development, model evaluation, workflow automation, and large-scale data operations. Experienced in supporting and validating AI systems through data annotation, model assessment, and quality assurance, with growing hands on exposure to LLM evaluation, prompt level analysis, and AI system reliability.

Adept at collaborating with distributed teams and documenting production ready AI workflows.

Data Scientist at Micro1 (2025-04 – Present)

Designed and implemented machine learning models to support data-driven business and operational decision-making. Conducted exploratory data analysis and feature engineering using Python and Apache Spark. Built automated data workflows to streamline model experimentation, evaluation, and reporting.

• Designed and implemented machine learning models to support data-driven business and operational decision-making.
• Conducted exploratory data analysis and feature engineering using Python and Apache Spark.
• Built automated data workflows to streamline model experimentation, evaluation, and reporting.
• Documented ML pipelines, model performance metrics, and optimization strategies for internal stakeholders.
• Collaborated with cross-functional teams to translate analytical insights into deployable solutions.

Data Annotation Specialist at Mindrift (2022-05 – 2025-03)

Performed large-scale data annotation and quality assurance for AI and LLM training datasets, achieving a 98% accuracy rate. Evaluated model-generated outputs for correctness, coherence, safety, and instruction-following behavior.

• Performed large-scale data annotation and quality assurance for AI and LLM training datasets, achieving a 98% accuracy rate.
• Evaluated model-generated outputs for correctness, coherence, safety, and instruction-following behavior.
• Developed Python-based scripts to automate quality checks, consistency audits, and annotation validation.
• Authored detailed QA documentation and analytical reports used to improve model training workflows.
• Partnered with AI researchers and operations teams to refine annotation guidelines and improve model reliability.

Software Engineer at Safaricom PLC (2019-01 – 2021-12)

Developed and maintained backend software systems to improve customer experience and service operations. Designed and implemented RESTful APIs and integrated third-party platforms for escalation tracking and analytics.

• Developed and maintained backend software systems to improve customer experience and service operations.
• Designed and implemented RESTful APIs and integrated third-party platforms for escalation tracking and analytics.
• Optimized legacy systems, reducing processing time by approximately 30%.
• Worked closely with operations teams to analyze system metrics and drive performance improvements.

Data Analyst at Outlier (2017-07 – 2018-08)

Evaluated AI model outputs to ensure alignment with project objectives and quality standards. Analyzed user generated content and customer interaction data to identify trends and optimization opportunities.

• Evaluated AI model outputs to ensure alignment with project objectives and quality standards.
• Analyzed user generated content and customer interaction data to identify trends and optimization opportunities.
• Produced analytical reports that informed workflow improvements and model evaluation strategies.

Bachelor of Science in Computer Science – The Cooperative University of Kenya (2018)