I am a multidisciplinary professional working at the intersection of Quality Engineering, Applied AI, digital research, and technical communication. I am known for precise execution, cross-functional versatility, and an intuitive understanding of how systems, people, and workflows operate in real-world environments. I design modular automation frameworks, integrate Generative AI into annotation and editorial workflows, and produce client-ready SOPs, BRDs, SRS documentation, and structured operational reports. I thrive in remote, globally distributed teams and bring operational maturity and cultural sensitivity to every engagement.…

Lee Kipngetich Sang

I am a multidisciplinary professional working at the intersection of Quality Engineering, Applied AI, digital research, and technical communication. I am known for precise execution, cross-functional versatility, and an intuitive understanding of how systems, people, and workflows operate in real-world environments. I design modular automation frameworks, integrate Generative AI into annotation and editorial workflows, and produce client-ready SOPs, BRDs, SRS documentation, and structured operational reports. I thrive in remote, globally distributed teams and bring operational maturity and cultural sensitivity to every engagement.…

Available to hire

I am a multidisciplinary professional working at the intersection of Quality Engineering, Applied AI, digital research, and technical communication. I am known for precise execution, cross-functional versatility, and an intuitive understanding of how systems, people, and workflows operate in real-world environments.

I design modular automation frameworks, integrate Generative AI into annotation and editorial workflows, and produce client-ready SOPs, BRDs, SRS documentation, and structured operational reports. I thrive in remote, globally distributed teams and bring operational maturity and cultural sensitivity to every engagement.

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Skills

Experience Level

Data Science
Expert
Data Visualization
Expert
TensorFlow
Expert
Keras
Expert
Leadership
Expert
Python
Expert
Selenium
Expert
SQL
Expert
GitHub
Expert
PyTorch
Expert
Docker
Intermediate
Kubernetes
Intermediate
AWS
Intermediate
Google Cloud
Intermediate
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Language

English
Fluent
Swahili
Fluent

Work Experience

AI Engineer at Various
September 7, 2020 - Present
Collaborated closely with AI engineers to identify edge cases, monitor inference drift, and implement regression testing for embedding workflows. Used Python, PyTest, and Postman to validate APIs and model endpoints deployed in a serverless AWS environment (Lambda, S3, API Gateway). Applied performance profiling to detect latency bottlenecks and ensure cost-efficient scaling.

Education

Diploma at Moi University, Eldoret School of Tourism and Hospitality
January 1, 2000 - December 31, 2000
Degree at Moi University, Eldoret School of Tourism and Hospitality
January 1, 2000 - December 31, 2000
UCE at Lugazi Mixed Secondary School, Uganda
January 1, 2004 - December 31, 2007
Diploma at Moi University, Eldoret School of Tourism and Hospitality
January 11, 2030 - June 23, 2025
Degree at Moi University, Eldoret School of Tourism and Hospitality
January 11, 2030 - June 23, 2025
UCE at Lugazi Mixed Secondary School, Uganda
January 1, 2004 - December 31, 2007
Diploma and Degree in Tourism Management at Moi University, Eldoret School of Tourism and Hospitality
January 11, 2030 - October 22, 2025
Uganda Certificate of Education (UCE) at Lugazi Mixed Secondary School, Uganda
January 1, 2004 - January 1, 2007
Diploma in Tourism Management at Moi University, Eldoret School of Tourism and Hospitality
January 11, 2030 - November 13, 2025
Degree in Tourism Management at Moi University, Eldoret School of Tourism and Hospitality
January 11, 2030 - November 13, 2025
Uganda Certificate of Education (UCE) at Lugazi Mixed Secondary School, Uganda
January 1, 2004 - January 1, 2007
Diploma in Tourism Management at Moi University, Eldoret School of Tourism & Hospitality
January 11, 2030 - November 30, 2025
Degree in Tourism Management at Moi University, Eldoret School of Tourism & Hospitality
January 11, 2030 - November 30, 2025
Uganda Certificate of Education (UCE) at Lugazi Mixed Secondary School
January 11, 2030 - November 30, 2025

Qualifications

Lean Six Sigma White Belt Certified
January 11, 2030 - June 23, 2025
Magnet Forensics Certified
January 11, 2030 - June 23, 2025
Lean Six Sigma White Belt Certified
January 11, 2030 - June 23, 2025
Magnet Forensics Certified
January 11, 2030 - June 23, 2025
Lean Six Sigma White Belt Certification
January 11, 2030 - October 22, 2025
Magnet Forensics Certification
January 11, 2030 - October 22, 2025
AI, Machine Learning & Applied Intelligence
January 11, 2030 - October 22, 2025
Lean Six Sigma White Belt Certification
January 11, 2030 - October 22, 2025
Magnet Forensics Certification
January 11, 2030 - October 22, 2025
Lean Six Sigma White Belt Certified Foundation in process optimization, quality improvement, and statistical process control methodologies
January 11, 2030 - November 13, 2025
Magnet Forensics Certified Certification in digital forensics, specializing in investigating techniques used for analyzing, collecting, and presenting electronic evidence
January 11, 2030 - November 13, 2025
Lean Six Sigma White Belt
January 11, 2030 - November 30, 2025
Magnet Forensics Certification
January 11, 2030 - November 30, 2025

Industry Experience

Software & Internet, Computers & Electronics, Travel & Hospitality, Professional Services, Education, Media & Entertainment
    paper Accent Classifier Project
    Accent Classifier – Multilingual Speech Pattern Recognition Project Overview: The Accent Classifier is a machine learning system designed to identify and categorize speaker accents from audio input. It leverages deep learning models trained on multilingual speech datasets to support applications in voice personalization, accessibility, and forensic linguistics. Key Components: Audio Preprocessing: Noise reduction, silence trimming, and MFCC (Mel-frequency cepstral coefficients) extraction Spectrogram generation for CNN-based classification Model Architecture: Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) for temporal pattern recognition Fine-tuned transformer-based models (e.g., Wav2Vec 2.0) for high-accuracy accent embeddings Training Pipeline: Labeled datasets across regional English accents (e.g., Kenyan, British, Indian, American) Data augmentation via pitch shifting and time stretching to improve generalization Evaluation using precision, recall, F1-score, and confusion matrix analysis Deployment: Real-time inference via serverless architecture (AWS Lambda + S3) REST API integration for voice-enabled applications and chatbot personalization Use Cases: Accent-aware transcription and translation Adaptive voice interfaces for global users Forensic audio analysis in multilingual investigations pitchdeck…