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Build and deploy cloud data pipelines, model data, and integrate LLM components for clients in a consulting role.
Build and deploy cloud data pipelines, model data, and integrate LLM components for enterprise clients while auditing cloud architectures and automating deployments.
Build and deploy cloud-based data analytics solutions for enterprise clients, designing architectures, optimizing pipelines, and mentoring teams on modern data stacks and AI engineering practices.
Design and build end-to-end data pipelines on Microsoft Azure, using Data Factory, Data Lake, SQL DB and Analysis Services to deliver production-ready analytics and AI platforms.
Build robust data pipelines and cloud-native platforms using Python, SQL, dbt, Airflow, BigQuery, Snowflake, and Databricks, while integrating AI/ML workflows and RAG systems.
Designs and builds cloud-native data pipelines and platforms using Python, SQL, dbt, Airflow, and GCP, integrating AI/ML workflows and real-time analytics.
Industrialize AI models and data pipelines for a large bank’s AI Center of Excellence, implementing MLOps, LLMOps, and CI/CD while ensuring security and observability.
Design and build scalable GCP data pipelines and deploy agentic AI systems using Vertex AI, LangChain, and RAG for enterprise clients.
Lead a new DevOps business unit at an engineering agency, building and automating resilient multi-cloud infrastructure (AWS/GCP/Azure) and integrating AI/ML tooling while collaborating with development teams and external partners.
Build and deploy cloud-native applications for clients using Ansible, Kubernetes, and CI/CD pipelines (Jenkins/GitLab) while optimizing performance, security, and resilience.
Build and deploy full-stack AI applications using Python backends, React/Angular frontends, and LLM integrations (RAG, agents) with PostgreSQL vector stores and Kubernetes CI/CD pipelines.
Senior DevOps engineer builds and scales GPU-powered AKS/EKS clusters for LLM inference and fine-tuning, automates CI/CD pipelines, and implements GenAIOps observability and cost controls.
Build secure, scalable data pipelines and AI-ready platforms for Defence customers using Python, Kafka, Spark, and Kubernetes in air-gapped environments.
Build and scale SentinelOne’s AI Gateway (Kong AI Gateway) to route, secure, and monitor AI coding assistant traffic, while operating self-hosted LLM inference stacks and LLMOps tooling across Kubernetes.
Build and scale SentinelOne’s AI Gateway (Kong AI Gateway) to route, rate-limit, and monitor AI coding assistant traffic, while operating self-hosted LLM inference stacks and LLMOps tooling across Kubernetes and AWS.
Senior engineer building and scaling cloud-native AI platforms, automating MLOps/LLMOps pipelines, and containerizing workloads with Kubernetes and FastAPI.
Lead a team to build enterprise-scale generative AI and agentic systems using LLMs, RAG, and multimodal pipelines for Mastercard’s Business & Market Insights group.
Senior cloud specialist guiding enterprise clients through Oracle Cloud (OCI) adoption, designing solutions and mentoring teams to drive successful migrations and implementations.
Design and govern enterprise-scale AI-ready data platforms using Azure Databricks, Snowflake, and Delta Lake to enable analytics, GenAI, and ML workloads.
Lead AI/ML and Generative AI projects from concept to production, coordinating cross-functional teams and ensuring Responsible AI compliance while driving enterprise adoption and performance tracking.
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