I'm an experienced Open Source Engineer passionate about AI-driven cloud solutions, MLOps, and resilient architectures. I specialize in DevOps, Kubernetes, AI model deployment, automation and Data Engineering.
🔹 Cloud & AI Architect | OSS Engineer
🔹 Expert in AI-driven cloud-native and data-intensive solutions
🔹 Building, breaking and optimizing complex distributed systems
- ML Libraries: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch
- LLMs & AI Frameworks: LangChain, OpenAI API, Hugging Face Transformers, Llama, BeeAI
- MLOps & AI Deployment: MLflow, Kubeflow, BentoML
- Generative AI: Llama, Stable Diffusion, Midjourney APIs
- AI in Cloud & Edge: AWS SageMaker, Azure AI, Edge AI with TensorFlow Lite
- AI Protocols & Interoperability: MCP (Model Communication Protocol)
- Streaming & Messaging: Apache Kafka, Apache Pulsar
- Databases & Storage: PostgreSQL, DataStax (Cassandra), MongoDB, Redis
- Data Pipelines & Processing: Apache Spark, Airflow, dbt
- AI & Data Integration: IBM Watsonx, OpenAI, Snowflake
- Big Data & Cloud Data Warehousing: AWS Redshift, Google BigQuery
🚀 I architect and optimize AI-powered cloud solutions, focusing on scalable and automated AI deployments and data-intensive applications.
🔹 AI-driven cloud architectures with AWS, Azure, and GCP
🔹 MLOps & AI automation using Kubeflow, MLflow, and BentoML
🔹 LLM fine-tuning & optimization for real-world applications
🔹 Edge AI & IoT deployments with TensorFlow Lite
🔹 Data Engineering & Real-time Streaming with Kafka, PostgreSQL, and Spark
🔹 Interoperable AI & Data Systems integrating BeeAI, Llama, MCP, and Watsonx
🔹 Resilient AI Kubernetes clusters for high-availability ML workloads
🔹 Enterprise Open Source & Hybrid Cloud with Red Hat OpenShift
🚀 Let's innovate and build the future of AI & Data together! 🤖