Ml, Apis, PostgreSQL, FastAPI, Python, CrewAI, multi-agent frameworks, fine-tuning, Langchain, RAG systems, LLMs, Vector databases, agent orchestration patterns, Ai, cloud-based AI services, Anthropic, data processing libraries, prompt engineering, Google AI services, data modeling for AI workloads, asyncio, OpenAI, LlamaIndex

containerization , Tensorflow, Devops, Gcp, Pytorch, MLops, Azure, Python, Kubernetes, AWS, whylogs, Airflow, Infrastructure as Code, scikit-learn, Great Expectations, MLflow, Feast, SageMaker, DVC, Vertex AI, Kubeflow, Evidently

Python, Pyspark, R Studio, SAS, Spss, Hypothesis Testing, Regression Analysis, Classification Models

statistical concepts , Azure Data Factory, Machine Learning Algorithms, Azure DevOps, Microsoft Azure Machine Learning, Generative AI, Feature Engineering, Data Preprocessing, Model Evaluation Techniques, Python Programming Language, CI CD

Api Testing, FastAPI, Rest Apis, Python, Pytest, LLMs, Data Preprocessing, Deployment, Data-Based Chatbots, LLM Evaluations, Fine-Tuning, Data Processing

Python, Sql, Non-linear constrained optimization, Marketing Mix Models, Regression-based models, Time-series modeling, Econometric Modeling, Hierarchical Bayesian methods

Ml, Python, Tcl Scripting, Embedded C, LLMs, Vitis, Vivado, Xilinx FPGA architecture

Tensorflow, Pytorch, Gcp, MLops, Docker, Azure, Python, Kubernetes, AWS, vector databases, LLM APIs, RAG

Hadoop, Natural Language Processing, Apache Spark, Neural Networks, Clustering, Random Forest, Deep Learning, Python Programming, Jenkins, Decision Trees, Machine Learning Algorithms, Airflow, Data Munging Techniques, ML Flow, reinforcement learning, Support Vector Machines, Boosting Algorithm, Kubeflow, CI CD Pipeline, Large Language Models, Bayesian Networks