Machine Learning, Microservices, Nosql, Data Science, Docker, Terraform, Python, AWS, Apis, Sql, Spark, Kubernetes, Airflow, Agentic AI patterns, Hugging Face, MLflow, LangGraph, OpenAI APIs, LangChain, Generative AI, LLMs, Vector databases, Amazon EKS, Scalr, Amazon Bedrock, Prompt Engineering, LlamaIndex

Tensorflow, Machine Learning, Nlp, Pytorch, Python, AI Tools

LLM engineering, Cost Control, evaluation rigor, Reliability, tool use and agents orchestration, retrieval and context management, autonomous pentesting, observability, prompting and scaffolding

Machine Learning, Tensorflow, Pytorch, Gcp, Docker, FastAPI, Azure, Python, Kubernetes, AWS, Generative AI, Feature Engineering, Model deployment, Document Extraction, Scikit-learn, Context Engineering, Vector Databases, Agentic AI workflows, Streamlit, Prompt Engineering

Gcp, Pytorch, Docker, Webrtc, Python, INT4, TensorRT, RunPod, SGLang, vLLM, FP8, NVFP4, LoRA, QLoRA

AWS, Pytorch, Kubernetes, Python, Tensorflow, Azure, Gcp, Docker, MLflow, Airflow, Kubeflow, Hugging Face

coding agents, async Python, streaming ASR

Observability (logging, tracing), Bitbucket, Artifactory, Bamboo, metrics, Automated Testing, AgentCore, GitOps, Amazon Bedrock, Agent memory state and policy management, Tool function calling and integrations, CI/CD pipelines, LLM orchestration, Agent decision logic

Node.js, Sql, React, Git, Flask, FastAPI, Rest Apis, Azure, Python, AWS, Docker fundamentals, Prompt engineering, GCP fundamentals, Vector databases, GenAI concepts, microservices concepts, Agentic AI, LLM APIs, CI CD concepts, SDKs, MCP fundamentals, GitHub fundamentals, RAG architectures