Mehluli Nokwara

Data Scientist

https://talent.gravityer.com/mehluli-nokwara

I'm, an engineer working at the intersection of AI, Machine Learning, full-stack development, and embedded systems. I love designing solutions to complexity.

Yes

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects, particularly in LLM uncertainty quantification and clinical model benchmarking.
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Exposure to RAG (Retrieval Augmented Generation) systems, indicating familiarity with modern NLP architectures.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal learning and exploration in data science, which could indicate a proactive and self-driven individual. The diversity of projects, from LLM research to frontend demos, suggests a broad interest, though the depth in each area is not fully clear from descriptions alone. The target role of 'Data Scientist' aligns well with the project themes.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Model_Context_Protocol_Projects

June 26, 2026 – Present

Model_Context_Protocol_Projects — GitHub repository

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yale_art

May 12, 2026 – Present

Yale school of design

View Project

dr_brown

May 10, 2026 – Present

dr_brown — GitHub repository

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benchmarking_frontend_demo_next.js

May 5, 2026 – Present

Front end showing demo for benchmarking...

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benchmarking_uncertainity_in_clinical_models_capstone

May 5, 2026 – Present

Benchmarking and calibrating uncertainity in clinical models to ensure accuracy.

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llm_stochastic_inference

April 21, 2026 – Present

Uncertainity quantification for LLMs and an abstension mechanism experiments.

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benchmarking_uncertainity_in_clinical_models

April 1, 2026 – Present

BENCHMARKING AND CALIBRATING STOCHASTIC UNCERTAINTY IN CLINICAL LLMS USING THE MEDMCQA DATASET

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portfolio

March 11, 2026 – Present

My Portfolio

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clinical_trial_scout

December 19, 2025 – December 19, 2025

An agent that helps researchers/doctors find relevant clinical trials or medical protocols.

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rag-apple-10k

November 13, 2025 – November 13, 2025

A simple RAG project that can be run on a small machine

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects, particularly in LLM uncertainty quantification and clinical model benchmarking.
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Exposure to RAG (Retrieval Augmented Generation) systems, indicating familiarity with modern NLP architectures.

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, providing no insights.

Mehluli Nokwara

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit