Kiplangat Korir

Data Scientist

https://talent.gravityer.com/kiplangat-korir

Co-founder @Msingi-AI

MsingiAI

Key Strengths

Strong foundational knowledge in Machine Learning and Data Science, evidenced by multiple personal projects.
Experience in developing Python libraries for ML tasks (e.g., ueq, driftguard, explainml).
Demonstrated interest in advanced ML topics like Uncertainty Quantification, Model Drift, Explainable AI, and Neural Networks.
Practical application of NLP with projects like 'swahili-gpt2-distilled'.
Current role as a Data Scientist at MsingiAI aligns directly with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's extensive personal projects demonstrate a strong passion for data science and machine learning, indicating a proactive and self-driven individual. The diversity of projects, from library development to specific model implementations and educational initiatives, suggests a broad interest within the field. However, the lack of team-based projects or collaborative experience in the provided data makes it difficult to fully assess cultural fit in a team environment. The experience level is listed as 0, which contradicts the current Data Scientist role, suggesting a potential data discrepancy or very recent entry into the role. This could impact cultural fit expectations for a senior role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no completed assessment for these areas.

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

volhybrid

January 15, 2026 – Present

Code implementation for Neural-Enhanced GARCH Models for Volatility Forecasting in Emerging and Developed Markets

View Project

ueq

September 19, 2025 – Present

A Python library that wraps around any prediction function or ML model and automatically attaches uncertainty quantification (UQ) methods.

View Project

swahili-gpt2-distilled

April 25, 2025 – July 2, 2025

A distilled version of the GPT-2 model, fine-tuned specifically for Swahili language tasks.

View Project

first-principles-ml

March 28, 2025 – March 30, 2025

Learn ML from the ground up. No shortcuts, no black boxes—just pure understanding.

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cyberthreatml

March 11, 2025 – July 4, 2025

CyberThreat-ML - Advanced Threat Detection with Explainable AI

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kiplangatkorir.github.io

February 20, 2025 – Present

kiplangatkorir.github.io — repository

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multi-agent-supernet

February 12, 2025 – December 2, 2025

multi-agent-supernet — repository

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explainml

February 5, 2025 – March 11, 2025

A Python library designed for making machine learning models more interpretable and explainable

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driftguard

January 21, 2025 – Present

A library for monitoring machine learning model performance and drift.

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CFDNet

January 11, 2025 – January 27, 2025

A neural network for sequence modeling using functional decomposition

View Project

Key Strengths

Strong foundational knowledge in Machine Learning and Data Science, evidenced by multiple personal projects.
Experience in developing Python libraries for ML tasks (e.g., ueq, driftguard, explainml).
Demonstrated interest in advanced ML topics like Uncertainty Quantification, Model Drift, Explainable AI, and Neural Networks.
Practical application of NLP with projects like 'swahili-gpt2-distilled'.
Current role as a Data Scientist at MsingiAI aligns directly with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no completed assessment for these areas.

Kiplangat Korir

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit