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Robert Polasek
Robert is a senior Platform Engineer and MLOps/DevOps Consultant with more than 20 years of experience building cloud-native infrastructure, Kubernetes platforms, and AI/ML pipelines at scale. He specializes in enabling secure, scalable, and cost-efficient AI/ML workloads across AWS, GCP, and Azure. His expertise includes Kubernetes cluster design, infrastructure as code (Terraform and Terragrunt), CI/CD, observability, and GPU workload orchestration.
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Omer Sen
Omer is a highly accomplished DevOps, DevSecOps, and MLOps developer who has been incorporating experience in these fields since 1999. He started as a Unix, Linux, and Windows administrator and then transitioned to security before his current consultancy role. He has expertise in Kubernetes, CI/CD, Ansible, Packer, and IaC. Omer's favorite cloud providers are AWS, Azure, and Google Cloud, which he uses on various projects for startups and different-size companies in multiple industries.
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David Todd
David is a highly motivated and results-oriented DevOps/MLOps engineer with over 25 years of experience delivering successful infrastructure, application, and cloud solutions at the enterprise level. He's a certified Google Cloud architect with extensive expertise in Kubernetes, ML/AI infrastructure, and cloud platforms. David has a strong background in designing distributed systems for compute-intensive workloads, focusing on performance optimization and scalability.
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Marcelo Grebois
Marcelo is a technology leader, infrastructure solutions expert, and open-source advocate who is also multilingual. With 24+ years of expertise in purpose-led high-availability infrastructure solutions, he has excelled in engineering to executive leadership positions across Europe and Latin America. Marcelo focuses on building highly automated systems and has consistently delivered exceptional results. He is an open source enthusiast, CNCF contributor, AWS certified, and an IETF writer.
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Luca Cerone
Luca is a data scientist and ML engineer with 11 years of experience delivering end-to-end data products for companies like Bumble, letgo (OLX Group), Domestika, and King (Microsoft). He prioritizes good engineering practices to deploy reliable models across AWS, GCP, and on-premise environments. By combining his robust ML deployment background with active training in generative AI, including RAG and LLMs, Luca helps companies safely implement modern AI to solve concrete business needs.
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Merna Hesham
Merna is an AI engineer and technical project manager with six years of experience in machine learning and MLOps for Valeo, Weight Watchers US, Accenture, and Egypt's Ministry of Communications and IT. She works across the full delivery path, scoping and resourcing the project, building the pipeline in Python, Docker, Kubernetes, and MLflow, then running it on GCP or AWS. Merna has trained over 500 engineers in the same practices she deploys.
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Susanna Sargsyan
Susanna is a senior machine learning engineer with nearly 5 years of experience building and deploying scalable AI systems for clients, including Plat.AI and a robotics/autonomous systems company. Her core expertise spans advanced computer vision and generative AI, supported by robust MLOps engineering using Vertex AI, Kubeflow Pipelines, and GCP. Susanna thrives in fast-paced startup environments, where she recently architected a production ML platform supporting multiple prediction services.
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Pritha Guha
Pritha is a senior MLOps, SRE, and cloud platform engineer with 11+ years building production infrastructure on AWS, GCP, and Kubernetes. Experienced in fast-paced SaaS startups and large enterprises, she owned end-to-end infrastructure, including MLOps stack (Kubeflow, KubeRay, KServe, GPU, RAG pipelines, agentic AI, Amazon Bedrock, Gemini). She’s cut costs by 60% and Kubernetes upgrade downtime by 97%, and increased PostgreSQL throughput by 40%. She's led SOC 2 Type II compliance end-to-end.
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Amit Yadav
Amit is a certified Google Cloud Professional cloud architect and senior AI/ML engineer specializing in production agentic systems on Microsoft Foundry, Azure Agent Framework SDK, and Google ADK, with expertise in guardrails and agent evaluation. He builds RAG pipelines using Azure AI Search, Vertex AI, and AKS/GKE CI/CD. Now, he is working at the AI-CAD intersection on geometric deep learning and multi-agent design systems. Amit is an excellent problem-solver and a team player.
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Priyanshu Bahuguna
Priyanshu boasts over 18 years of experience in software development, where he has managed projects within multi-cloud environments, leading the delivery of data pipelines on Google Cloud Platform (GCP) and AWS while collaborating with global stakeholders. Priyanshu's accomplishments include achieving a 1.70% savings in efforts after implementing a data pipeline on AWS and delivering a 2.60% faster execution on an end-to-end data pipeline implemented on GCP for data curation and ML modeling.
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Hemen Ashodia
Hemen has over 14 years of experience in full-stack development and 10 with machine learning, contributing to hundreds of ML projects. He possesses hard-to-find expertise in artificial neural networks, deep learning, reinforcement learning, and generative adversarial networks. Hemen has also worked for companies that were later acquired by Intel, mainly for their machine learning development. He has worked with notable companies like Bitcoin.com, Tala, and Johnson & Johnson.
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