text classification , Embedded Linux, Nlp, Pytorch, Python, LLM RAG Pipelines, LangChain, Hugging Face, TensorRT, Quantization, Model Fine-tuning, NVIDIA Jetson Platforms, ONNX, Vector Databases, Jetson Nano, ONNX Runtime, LLM Deployment, RAG, Real-time AI Applications, Edge AI Optimization, NER, Prompt Engineering

Sql, XGBoost, Python, LangChain, CrewAI, Qdrant, Scikit-learn, MLflow, Anthropic, Pinecone, LangGraph, AutoGen, Mistral, Llama, OpenAI, ChromaDB, Weaviate

pruning , Hive, Python, XGBoost, Spark, feature engineering, monitoring ML LLM systems, scikit-learn, modern LLM tooling, large-scale data pipelines, LangChain, UDFs, feature selection

Machine Learning, Apis, Kafka, Microservices, Tensorflow, Git, Pytorch, Gcp, Docker, Opencv, Spark, Databricks, Azure, Kubernetes, Python, AWS, DevOps MLOps practices, Airflow, data pipelines, MLflow, ONNX, AI-assisted engineering tools, CI CD pipelines

Java, Sql, Typescript, Python, n8n, LLMs, AI ML algorithms and frameworks, TensorFlow Serving, Mlflow, Model Context Protocol for Agentic AI Tools, flyte, MLOps tools, TorchServe, CI CD practices

LLMs (OpenAI, Data Processing & Feature Engineering, Cloud Platforms (AWS/Azure/GCP – optional), Python, Pytorch, LangChain, NLP Concepts

Machine Learning, Python, Sql, Statistical Analysis, Generative AI, R, observability monitoring tools, full-stack development

Python, AI/ML, AI/ML Engineer, Cloud AI

Microservices, Terraform, Python, AWS, Rust, Cloudformation, Devops, Jenkins, Git, Gcp, FastAPI, Azure, Kubernetes, RAG systems, Hugging Face Transformers, Go, MLflow, TF Serving, vector database management, GitHub Actions, TorchServe, LangChain, big data processing using Spark, vLLM, test-driven development, semantic search implementation, model quantization techniques, CI CD pipelines