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

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

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

Python, GenerativeAI, LLM RAG

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

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

Genai, Prompt engineering, Llm

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

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