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I'm a DevOps and Cloud Infrastructure Engineer with 7+ years of experience building, deploying, and maintaining production-grade systems on AWS, GCP, and Azure. I specialize in containerization (Docker, Kubernetes), CI/CD pipeline automation (GitHub Actions, Jenkins), and infrastructure-as-code. I have a strong Linux administration background, with hands-on scripting (Python, Bash), system optimization, and troubleshooting of complex distributed systems. I thrive on solving challenging problems and collaborating with cross-functional teams to deliver reliable, scalable solutions.…I'm a DevOps and Cloud Infrastructure Engineer with 7+ years of experience building, deploying, and maintaining production-grade systems on AWS, GCP, and Azure. I specialize in containerization (Docker, Kubernetes), CI/CD pipeline automation (GitHub Actions, Jenkins), and infrastructure-as-code. I have a strong Linux administration background, with hands-on scripting (Python, Bash), system optimization, and troubleshooting of complex distributed systems. I thrive on solving challenging problems and collaborating with cross-functional teams to deliver reliable, scalable solutions.

Ken Dimson

AI Engineer, Data Scientist, Full Stack Developer, +7

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I'm a DevOps and Cloud Infrastructure Engineer with 7+ years of experience building, deploying, and maintaining production-grade systems on AWS, GCP, and Azure. I specialize in containerization (Docker, Kubernetes), CI/CD pipeline automation (GitHub Actions, Jenkins), and infrastructure-as-code. I have a strong Linux administration background, with hands-on scripting (Python, Bash), system optimization, and troubleshooting of complex distributed systems. I thrive on solving challenging problems and collaborating with cross-functional teams to deliver reliable, scalable solutions.…I'm a DevOps and Cloud Infrastructure Engineer with 7+ years of experience building, deploying, and maintaining production-grade systems on AWS, GCP, and Azure. I specialize in containerization (Docker, Kubernetes), CI/CD pipeline automation (GitHub Actions, Jenkins), and infrastructure-as-code. I have a strong Linux administration background, with hands-on scripting (Python, Bash), system optimization, and troubleshooting of complex distributed systems. I thrive on solving challenging problems and collaborating with cross-functional teams to deliver reliable, scalable solutions.

Available to hire

I’m a DevOps and Cloud Infrastructure Engineer with 7+ years of experience building, deploying, and maintaining production-grade systems on AWS, GCP, and Azure. I specialize in containerization (Docker, Kubernetes), CI/CD pipeline automation (GitHub Actions, Jenkins), and infrastructure-as-code.

I have a strong Linux administration background, with hands-on scripting (Python, Bash), system optimization, and troubleshooting of complex distributed systems. I thrive on solving challenging problems and collaborating with cross-functional teams to deliver reliable, scalable solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

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Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior AI/ML Engineer at Makro PRO

June 1, 2024 - May 1, 2025

Designed and deployed LLM-driven automation systems that optimized internal product, supplier, and operations workflows, reducing manual processing time by 65% across key business units. Built multi-agent pipelines for product content enhancement, price/change monitoring, and automated report generation, improving operational throughput by 78%. Developed high-throughput LLM microservices using FastAPI and LangChain, achieving 40% lower inference latency and enabling scalable AI features across procurement and marketplace teams. Implemented secure, compliant ML infrastructure on AWS and GCP, leveraging Docker, Kubernetes, and CI/CD to deliver 99.9% uptime for AI services supporting marketplace operations. Introduced real-time model performance monitoring and drift detection, reducing ML degradation incidents by 50% and increasing the reliability of data-driven decision systems.

Senior NLP Engineer at Vicarious

September 1, 2017 - March 1, 2023

Fine-tuned LLMs for large-scale customer-support automation using serverless AWS Lambda pipelines, increasing response relevance by 85% and reducing support ticket resolution time by 40%. Built multilingual semantic search and vector retrieval systems leveraging Pinecone and Weaviate, improving information retrieval precision by 60% across global markets. Developed advanced prompt-engineering and model-alignment frameworks that reduced hallucination rates by 35%, raising customer satisfaction scores in three regions. Partnered with infrastructure teams to containerize NLP and LLM pipelines, boosting deployment velocity by 50% while lowering operational costs by 20% through optimized resource utilization.

Junior ML Engineer at Jawbone

September 1, 2016 - July 1, 2017

Built and optimized speech-processing pipelines for wearable and mobile audio devices, improving on-device transcription reliability and noise resilience by 30% in real-world environments. Developed acoustic feature extraction models for health and wellness insights, enabling early detection of voice anomalies and enhancing signal quality for downstream ML tasks. Implemented low-latency audio segmentation and speaker-detection modules, improving voice-event recognition accuracy across diverse microphone hardware. Worked with the ML platform team to establish continuous training and evaluation workflows, reducing experimentation turnaround time by 50% and strengthening model reproducibility.

Senior NLP Engineer at Jawbone

September 1, 2016 - July 1, 2017

Developed speech-processing pipelines for wearable audio devices using multi-modal AI techniques; improved transcription reliability and noise resilience by 30%. Built acoustic feature extraction models and low-latency audio segmentation modules for voice anomaly detection. Established continuous training and evaluation workflows, cutting experimentation time by 50%.

Senior DevOps & MLOps Engineer at Makro PRO

June 1, 2024 - May 1, 2025

Implemented secure cloud ML infrastructure on AWS and GCP using Docker, Kubernetes, and CI/CD pipelines; achieved 99.9% uptime for mission-critical services. Designed and deployed containerized microservices with FastAPI, reducing inference latency; built automated CI/CD pipelines to accelerate model releases by 50% while maintaining production stability. Established real-time monitoring and drift detection, reducing system degradation incidents by 50% through proactive alerting. Managed Kubernetes clusters for high-throughput workloads with optimized resource allocation and scaling strategies.

DevOps & Infrastructure Engineer at Vicarious

September 1, 2017 - March 1, 2023

Containerized NLP/ML pipelines with Docker and Kubernetes; accelerated deployment velocity by 50% and reduced infrastructure costs by 20%. Architected serverless deployment pipelines on AWS Lambda with auto-scaling and fault tolerance. Built and maintained vector retrieval infrastructure using Pinecone and Weaviate for high availability and performance. Established CI/CD workflows for continuous integration and automated testing; standardized deployment processes through infrastructure-as-code.

Junior Systems & Infrastructure Engineer at Jawbone

September 1, 2016 - July 1, 2017

Developed processing pipelines for wearable audio devices; improved system reliability by 30% and implemented low-latency data processing modules with optimized resource utilization. Established continuous training and evaluation workflows, reducing experimentation and deployment time by 50%. Supported infrastructure operations including monitoring, troubleshooting, and performance optimization.