Allan Kimosop Kipkemboi

Data Scientist & AI Specialist | RLHF | LLM Evaluation | NLP & Computer Vision | Enterprise Data Pipelines

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About Me

I’m a data scientist and AI specialist with 5+ years of hands-on experience across the full AI data lifecycle. I specialize in boosting model performance through high-quality data pipeline design, human-in-the-loop systems, and RLHF/RLAIF optimization. My work spans NLP, computer vision, and multilingual data processing for enterprise-scale AI. Currently pursuing a B.Tech in Chemical Engineering while delivering production-ready AI solutions remotely.

Languages

English C2
Swahili C2
German B2

Core Competencies

Methods & Specializations

Machine LearningData ScienceNLPComputer VisionLLM EvaluationRLHF / RLAIFPrompt EngineeringModel Training/EvaluationFeature EngineeringData PipelinesStatistical Analysis

Technical Stack

PythonPandas / NumPyScikit-learnSQLC++TensorFlowPyTorchHugging Face TransformersJSON / XMLAdvanced Excel

Tools & Platforms

Scale AILabelboxCVATAppenRemotasksSurge AIAmazon MTurkDocker

Professional Experience

Video Annotator

Atlas Capture (Remote) | Dec 2025 – Apr 2026
  • Annotated video datasets focused on hand actions and human activity recognition for AI training.
  • Performed frame-by-frame labeling and action segmentation for gesture recognition models.
  • Tagged hand movements, object interactions, and motion sequences following annotation guidelines.
  • Reviewed labeled video samples for consistency and annotation accuracy.

Generalist Data Annotation Expert (LLM Evaluation & AI Training)

Mercor (Remote) | Nov 2025 – Mar 2026
  • Led production deployment of a new RLHF data pipeline, integrating 10,000+ human-in-the-loop signals weekly, reducing user-reported factual errors by 15%.
  • Architected standardized LLM evaluation & ranking processes, improving human-alignment scores, quality output, and dataset annotation accuracy by 20%.
  • Evaluated AI-generated responses for factual accuracy, logical consistency, and instruction adherence within LLM training workflows.
  • Performed response ranking, quality scoring, and comparative evaluation tasks for reinforcement learning pipelines.
  • Annotated multimodal datasets including text, image, and audio data following strict annotation standards.

Data Developer (Machine Learning & NLP Specialist)

RWS Group (Remote) | Sep 2025 – Present
  • Architected feature engineering layer in Python/Pandas, boosting multilingual NLP dialect classification accuracy by 9% across 10+ dialects.
  • Increased CV model precision/recall via pixel-level semantic segmentation & bounding box annotation (CVAT, Labelbox).
  • Optimized evaluation workflows using pairwise comparison testing, accuracy, and F1-score validation.

Data Analyst

CloudFactory (Nairobi) | Sep 2022 – Dec 2023
  • Delivered data-driven insights using Python & SQL, improving reporting accuracy and turnaround time.
  • Designed validation workflows, data cleaning, and preprocessing pipelines to ensure data integrity.
  • Streamlined KPI tracking & client query management through optimized reporting processes.
  • Supported remote operational teams through data processing and workflow optimization tasks.

AI Data Annotator

Remotasks (Remote) | Jun 2021 – Aug 2022
  • Scaled supervised learning datasets using bounding boxes, polygons, segmentation, and LiDAR labeling techniques.
  • Improved speech recognition accuracy via multilingual audio transcription & segmentation for NLP and speech recognition models.
  • Enhanced object detection and tracking performance using bounding boxes, landmarks, and 3D point clouds.
  • Maintained high annotation accuracy while adhering to detailed project guidelines and QA requirements.

AI Data Annotator & Linguistic Data Contributor

Appen (Remote) | Jan 2020 – May 2021
  • Annotated text and audio datasets for sentiment analysis, intent classification, and NLP model training.
  • Contributed to multilingual AI datasets used in speech recognition and language understanding systems.
  • Applied linguistic annotation standards and validation procedures across multiple AI projects.
  • Worked within evolving annotation guidelines while maintaining strong quality metrics.

Featured Projects

ResNet-50 Image Classifier

Built and trained a PyTorch-based ResNet-50 model on a 100k-image proprietary dataset for object detection.

✅ 94% Top-1 Accuracy
🔍 View Project

BERT Sentiment Analysis Pipeline

Fine-tuned a Hugging Face BERT model on a 500k-document corpus for real-time data insights.

✅ 92% F1-Score
🔍 View Project

Full-Stack Data Analysis Pipeline

Engineered an end-to-end Python/Pandas/SQL pipeline generating structured insights and automated KPI reports.

✅ Streamlined Reporting & Tracking
🔍 View Project

Let's Build AI That Works

Open to AI/ML, Data Engineering, and LLM Evaluation roles worldwide.

📧 Email

Alkim8300@gmail.com

📞 Phone

+254 745 956 337

📍 Location

Nairobi, Kenya (Open to Remote/Relocation)