Tensorflow, Numpy, Git, Pandas, Pytorch, MLops, Docker, Databricks, Azure, Python, AWS, LangChain, Transformers, LLMs, scikit-learn, Hugging Face, retrieval-augmented generation, MLflow, CI CD

CDK, Nlp, Terraform, Python, Devops, vector search, embeddings, AWS Bedrock, HuggingFace, Azure AI Foundry, LangGraph, AWS Sagemaker, ML observability, LLM architectures, RAG pipelines, explainability tools, LangChain, real-time NLP, PEFT, Generative AI, Azure OpenAI Service, Azure ML Studio, Ai, fine-tuning methods, infrastructure-as-code, LoRA, Transformers, SmolAgents, LlamaIndex

lifecycle management , Scalability, Python, Machine Learning, Transformers, MLOps Practices, AI Agents, Observability, Prompt Engineering, Model Deployment, GenAI Technologies

data engineering , Gcp, Sql, Hipaa, Java, Deep Learning, Tensorflow, Hadoop, Pytorch, Hl7, Scala, Machine Learning, AWS, Kubernetes, Python, Azure, Docker, Spark, CNNs, RNNs, Scikit-learn, GitOps, Real-Time Analytics, FHIR, R, Generative Models, reinforcement learning, Transformers

Data Science, Python, LangGraph, Statistical Modeling, Agentic Workflows using LangChain-based agents, Fine-tuning techniques for LLMs, Transformer architecture

Ml, MLops, Python, Computer Vision, Aerospace, Ai

triton , Cuda, Kubernetes, Python, NVIDIA Dynamo, AI-native systems architecture, orchestration frameworks, llm-d, XGMI, RoCE, AI-native applications, Go, TensorRT, inference workloads, SGLang, ROCm, vLLM, Ray Serve, NVLink, NCCL, RCCL, agentic runtimes

Kafka, Tensorflow, Numpy, Pytorch, MySQL, Flask, Python, AWS, BigQuery, Redis, Rabbitmq, Django, Gcp, Pandas, MongoDB, FastAPI, Context Engineering, Vector Databases, GitHub Actions, Embeddings, LangChain, LLMs, Scikit-learn, KV Caching, Prompt Engineering, LlamaIndex

Software Development, Machine Learning, Testing, Software Design, Programming Languages, Debugging, ML infrastructure, Data Processing, model deployment, reinforcement learning, model evaluation, Optimization, Large Language Models