Keyel Lamar Williamson

Senior AI/ML Engineer at KESH TEC INC

Designed, developed, and deployed advanced AI/ML pipelines and Python-based backend systems; built Next.js dashboards for model integration and visualization; implemented HIPAA/GDPR-compliant preprocessing and de-identification workflows; fine-tuned transformer models on healthcare data; deployed imaging models into PACS-integrated systems; exposed risk scores via REST APIs on AWS Lambda and supported real-time automation.

AI Software Engineer at Quip Global

Developed Python-based ML/NLP pipelines for enterprise SaaS and retail/e-commerce platforms; built React/Redux dashboards for personalization and monitoring; implemented retrieval-based knowledge bases and automated document ingestion with OCR; deployed scalable ML models with CI/CD pipelines.

Software Engineer at AMAZON

Developed data-driven recommendation, NLP, and campaign optimization models; built scalable data pipelines and dashboards to monitor performance; contributed to ad targeting and personalization initiatives at scale.

Senior AI/ML Engineer at KESH TEC INC

Designed, developed, and deployed advanced AI/ML pipelines and Python-based backend systems; built Next.js dashboards for model integration and visualization; leveraged AWS (EC2, S3, RDS, Textract, SageMaker, Lambda), NLP, computer vision, time-series modeling, and real-time streaming to deliver predictive insights, automation, and enterprise integrations. Implemented HIPAA/GDPR-compliant preprocessing with de-identification. Fine-tuned transformer models on EHR/patient data to predict appointment no-shows and care drop-offs; created longitudinal features; built image classification/segmentation with CNNs and Vision Transformers; deployed imaging models in PACS-integrated systems via ONNX Runtime; developed HIPAA-safe chatbots and voice-enabled assistants; established daily quality monitoring with CloudWatch and human-in-the-loop annotation.

AI Software Engineer at Quip Global

Developed Python-based ML & NLP pipelines for enterprise SaaS and retail/e-commerce; built retrieval-based pipelines for enterprise knowledge bases; fine-tuned word embeddings and classic NLP models (LSTMs, BiLSTMs); designed multi-turn chatbot workflows; built React/Redux dashboards to visualize model outputs; containerized services with Docker; automated retraining with CI/CD on AWS EC2 and on-prem.

Software Engineer at AMAZON

Developed data-driven recommendation, NLP, and campaign optimization models for social media and advertising using Python, Scikit-learn, Spark MLlib; built collaborative filtering and matrix factorization pipelines; tuned models with offline evaluation and A/B testing; extracted insights from social media posts using NLP; built dashboards for campaign performance.

Senior AI/ML Engineer at KESH TEC INC

Designed, developed, and deployed advanced AI/ML pipelines and Python-based backend systems, while building Next.js dashboards for model integration and visualization. Leveraged AWS (EC2, S3, RDS, Textract, SageMaker, Lambda), NLP, computer vision, time-series modeling, and real-time streaming to deliver predictive insights, automation, and enterprise integrations.

AI Software Engineer at Quip Global

Developed Python-based ML and NLP pipelines for enterprise SaaS and retail/e-commerce systems, built React/Redux frontends for personalization dashboards, and deployed Dockerized services with CI/CD on AWS.

Software Engineer at AMAZON

Developed data-driven recommendation, NLP, and campaign optimization models for social media and advertising using Python, Scikit-learn, Spark MLlib, NLP techniques, and Tableau dashboards to enhance user engagement and ad performance.

Senior AI/ML Engineer at KESH TEC INC

Designed, developed, and deployed advanced AI/ML pipelines and Python-based backend systems; built Next.js dashboards for model integration and visualization; leveraged AWS (EC2, S3, RDS, Textract, SageMaker, Lambda), NLP, computer vision, time-series modeling, and real-time streaming to deliver predictive insights, automation, and enterprise integrations. Worked across Healthcare and Finance domains implementing HIPAA/GDPR-compliant preprocessing, de-identification, model fine-tuning on EHR and clinical data, and real-time imaging pipelines.

AI Software Engineer at Quip Global

Developed Python-based ML & NLP pipelines for enterprise SaaS, built React/Redux frontends, and deployed production systems with Docker, CI/CD, and AWS services. Implemented retrieval pipelines for enterprise knowledge bases, multi-turn chatbots, personalization features, and monitoring.

Software Engineer at AMAZON

Built data-driven recommendation, NLP, and campaign optimization models to improve user engagement and ads performance. Developed collaborative filtering, matrix factorization pipelines, and sentiment/topic analysis; configured offline/online evaluation, dashboards, and model monitoring.

Senior AI/ML Engineer at KESH TEC INC

Designed, developed, and deployed advanced AI/ML pipelines and Python-based backend systems, integrating NLP, computer vision, and time-series modeling with real-time data streams on AWS. Built Next.js dashboards for model visualization and risk scoring, exposed inference APIs via AWS Lambda, and implemented HIPAA/GDPR-compliant de-identification workflows for healthcare data. Fine-tuned transformer models on EHR and patient communications to predict appointment no-shows, and deployed radiology image classifiers/segmenters with GPU-accelerated inference for PACS integration.

AI Software Engineer at Quip Global

Developed Python-based ML and NLP pipelines for enterprise SaaS and retail/e-commerce, enabling personalization, search, and workflow automation. Built retrieval-based knowledge-base pipelines, domain-specific embeddings, and multi-turn chatbot workflows with dashboards for outputs and bias/fairness audits. Delivered production-ready services with Docker, CI/CD, and AWS deployments; automated ticket/document classification and semantic search; built monitoring.

Software Engineer at Amazon

Developed data-driven recommendation, NLP, and campaign optimization models for social media and advertising to boost engagement and ROI. Built collaborative filtering and matrix factorization pipelines (Spark MLlib, Surprise), tuned via offline metrics and A/B tests. Implemented sentiment analysis and topic modeling, and delivered dashboards in Tableau to track campaign performance; automated data preprocessing and batch/inference pipelines.

Senior AI/ML Engineer at KESH TEC INC

Designed, developed, and deployed advanced AI/ML pipelines and Python-based backend systems; built Next.js dashboards for model visualization; leveraged AWS, NLP, computer vision, time-series modeling, and real-time streaming to deliver predictive insights and automation.

AI Software Engineer at Quip Global

Developed Python-based ML & NLP pipelines for enterprise SaaS and retail/e-commerce; built React/Redux frontends for personalization dashboards; deployed production systems with Docker, CI/CD, and AWS.