Java, Sql, Microservices, Nosql, Devops, Gcp, Distributed Systems, Azure, Python, AWS, Security and compliance, Go, Payments, IaC, SRE practices, AI toolings, Observability

Machine Learning, Deep Learning, Tensorflow, Numpy, Pytorch, Pandas, MLops, Docker, Opencv, Rest Apis, Python, Computer Vision, scikit-learn, CNNs, Mask R-CNN, CLIP-like models, SAM-like models, YOLO, Transformers, Vision Transformers

teleconferencing , enterprise it strategy , enterprise it infrastructure , Mcitp, Gcp, Microsoft Certified Professional, Azure Data Lake, Databricks, Scalability, AWS, Enterprise Resource Planning, AI Models, AI Evaluation, Model Deployment, Hybrid Cloud, Collaborate With Engineers

Java, Golang, Kafka, Terraform, Spark, Python, Kubernetes, Data streaming engineering, AI-related techstack, GitOps, Flink, vLLM, Langfuse, liteLLM

DAST, Jenkins, Git, Python, Azure DevOps, DevSecOps principles, security automation frameworks, container scanning, GitHub Actions, SCA, AI-driven security automation, SAST

Gcp, Pytorch, Docker, Azure, Kubernetes, Python, fine-tuning, LLM application design, domain adaptation, Hugging Face ecosystem, agentic AI orchestration frameworks, knowledge retrieval systems, structured prompt engineering, RAG architectures

Kafka, Google Cloud, MLops, Spark, Microsoft Azure, Databricks, AWS, Airflow, Qdrant, Llm, agentic systems, Chroma, dbt, FAISS, RAG, Weaviate, AIOps

Java, Apis, Data Architecture, system integration, Python, compliance in AI systems, streaming systems, security governance, CI CD for ML model monitoring, enterprise application architecture, data lakes, AI ML concepts, MLOps tools and practices