data engineering , Agile Development Methodologies, Continuous Integration, Microservices, system integration, Microsoft Azure, AWS, Apis, MLops, CodeWhisperer, cloud-native solution development, Hugging Face, vector databases, AWS Developer CLI, Agentic AI solutions, agentic AI orchestration, AI-assisted coding tools, fine-tuning LLMs, AI ML frameworks, vibe coding environments, LangChain, DevOps practices, prompt engineering, GitHub Copilot, OpenAI, real-time data processing

Tensorflow, Pytorch, Gcp, Hadoop, Docker, Spark, Keras, Azure, Kubernetes, AWS

python, Natural Language Processing, Deep Learning, Pytorch, lora, Transformers, langgraph, generative ai, fine tuning, ml evaluations, peft, langchain, embedding, multimodal ai, vector database

Java, Machine Learning, Cassandra, PostgreSQL, Dynamodb, Kafka, Redis, Sql, Tensorflow, Nosql, Pytorch, Docker, MySQL, Spark, Kubernetes, Python, Apache Iceberg, generative AI, Go, Apache Hudi, real-time inference, Large Language Models, model serving

data engineering , Machine Learning, Algorithms, Pandas, Data structures, Python, Standard ML algorithms, LLM-based solutions, Software design principles

S3, PostgreSQL, Tensorflow, Lambda, Javascript, Ec2, Pytorch, Docker, XGBoost, Python, Node.js, Redis, Opencv, FastAPI, MongoDB, Kubernetes, scikit-learn, Hugging Face, TensorRT, TorchScript, Pinecone, ONNX, Stable Diffusion, Detectron2, controlnet, YOLO, AWS SageMaker, Diffusers

AWS, Python, Api Development, Linux, LangChain, n8n, Git-based development workflows, Infrastructure automation, Vector databases, Generative AI, AI Agent development, LangGraph

Text Analytics, Python, Deep Learning, Nlp, Gen AI, Data preprocessing, Model evaluation techniques, Feature engineering

AWS EKS, FastAPI, Kubernetes, Python, Celery, Sqlalchemy, Airflow, Claude API, confidence calibration techniques, Pydantic, LLM output validation frameworks, embedding models, Weaviate, pgvector, Pinecone, semantic search, RAG context