Retrieval Augmented Generation (RAG), Large Language Models (LLMs), Java, Sql, Tensorflow, Pytorch, MLops, Predictive Modeling, XGBoost, Clustering, Python, embeddings, Scikit-learn, Go, Forecasting, vector databases, Classification, recommendation systems, CI/CD, Fraud Detection, ranking

Machine Learning, Kafka, Tensorflow, Data Science, Nlp, Pytorch, Docker, Python, C++, Apache Spark, Software Engineering, Time Series Analysis, FastAPI, Kubernetes, Go, Flink, GRPC, LLMS RAG pipelines, CI/CD for ML, LangChain, Forecasting, Triton Inference Server, Vector databases, anomaly detection

Java, Tensorflow, Machine Learning, Pytorch, Python, Cloud Platforms, R, AI Systems, scikit-learn

Tensorflow, Pytorch, Python, Machine Learning, Deep Learning, data classification, ML inference pipelines, DistilBERT, Advanced prompt engineering, Anomaly detection models, Distributed cloud systems, Prompt injection defense, AI red-teaming, Open-source classification models, AI safety vulnerabilities, Cybersecurity concepts, Fine-tuning techniques

Java, Tensorflow, Pytorch, Python, Statistics, Machine learning pipelines and systems, scikit-learn, Scalable computing resources, Optimization, R, probability theory, Experimental methodologies, Cloud platforms, Machine learning algorithms and models, ML model development and deployment

S3, ECS, Postgres, Python, LLMs, ML Flow

FastAPI, Java, C++, Data Structures, Redis, Django, Algorithms, Gcp, Flask, MongoDB, Python, AWS, LLM-based systems, Hugging Face, Go, Object-oriented programming, OpenAI API, CI/CD, SQL databases, AI-assisted coding tools, Gemini

Tensorflow, Machine Learning, Pytorch, Opencv, Ocr, Python, Computer Vision, Deep Learning, GenAI, LLMs, PIL

snowflake , Spark, Machine Learning, Distributed Systems, Apis, Kafka, Sql, Data Science, MLops, Databricks, Python, Airflow, ETA Prediction, Generative AI, LLMs, Ai, Fraud Modeling, Vector Databases, anomaly detection, Embeddings, ML Systems

Machine Learning, Python, Tensorflow, Pytorch, Scikit-learn