Ml, Data Science, React, Typescript, Helm, Python, Kubernetes, Parquet, GPU CUDA Infrastructure, Architecture Judgement, Statistics, Nuclio, DuckDB, Iceberg, Evaluation Testing Assurance, Data-intensive Pipelines

Databases, Apis, identity access management, Enterprise Integration, Memory Management, Typescript, Gcp, Javascript, Microsoft Azure, Containers, Python, pro-code LLM, agentic applications, workflow orchestration, CI CD, Monitoring, agent frameworks, modern web applications, RAG, backend services

ticketing systems , workflow engines , Logging, Authentication, Python, Apis, Containers, tool calling, CI CD, Memory Design, agent architecture, enterprise APIs, multi-agent workflows, identity systems, orchestration frameworks, production observability, data platforms, cloud platforms, model routing, operational tools, LLM agentic AI, RAG, ML automation, backend services, code repositories

Java, Python, LangChain, orchestration frameworks, Prompt engineering, Go, LLM application development, Agentic AI, AI agents, RAG pipelines, LlamaIndex, Embeddings and vector databases

object storage , Python, Data pipelines for model training, Production data pipelines, Large scale data systems, Analytical processing, Distributed training, Training optimized formats, Batch Processing, Model evaluation

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

Cloud deployment, Scalability, Gcp, System Design, Python, AWS, modern backend frameworks, LLMs, DevOps practices, Reliability, agent-based systems, multi-agent workflows, model optimization

data engineering , Software Engineering, fine-tuning, distributed AI workloads, LLMOps, applied AI ML skills, AI infrastructure and runtime technologies, AI solution architectures, NVIDIA GPUs, context engineering, Cloudera platform, agentic workflows, MLOps practices, inference optimization, foundation models, full-stack ML applications, semantic search, model serving

Java, Devops, MLops, Docker, Terraform, Ansible, Openshift, Helm, Python, Kubernetes, LangChain, CodeWhisperer, Go, vector databases, GitHub Copilot