Nlp, Docker, Python, Api Development, Sql, Deep Learning, REST, FastAPI, Kubernetes, Agentic AI architectures, RAG systems, Transformer architecture, Microservices architecture, Azure AI Foundry, Tool Calling mechanisms, LangChain, Graph DBs, Generative AI, LLMOps practices, MCP Model Context Protocol, CI CD pipelines, LLM implementation, Multi-agent systems, LlamaIndex, hyperscaler offerings

Statistical Analysis, Spark, Databricks, Emr, Python, AWS, Etl, ELT, Data Analysis, Glue

Kafka, HBase, Data Science Engineer, ampl

Nlp, Gcp, MLops, Docker, PostgreSQL, Elasticsearch, Elk Stack, Azure, Python, AWS, Generative AI

Sql, Tensorflow, Pandas, Python Programming, Numpy, Pytorch, Scipy, LLMs, model deployment workflows, scikit-learn, statsmodels, vector databases, GenAI technologies, RAG, LangChain, MLOps practices, prompt engineering

record linkage , Numpy, Nlp, Docker, XGBoost, Flask, Python, Sql, Pandas, FastAPI, embeddings, scikit-learn, fuzzy matching, Levenshtein, model evaluation, RAG fundamentals, LLM GenAI, sentence-transformers, model deployment, entity resolution, prompt engineering, Jaro-Winkler, REST API serving, vector similarity search, text embeddings

Tensorflow, Pytorch, Python, Sql, R, scikit-learn

Elk, Prometheus, Grafana, Nosql, Terraform, Python, AWS, Bash, Cloud Operations, Sql, Devops, Gcp, Ansible, Dynatrace, Splunk, Azure, Kubernetes, Production Engineering, OpenSearch, BigPanda, Site Reliability Engineering, Moogsoft, AIOps, Davis AI, Open Telemetry, ServiceNow ITOM

Sql, ELT, Tensorflow, Hadoop, Tableau, MLops, Power Bi, Etl, AWS, Pytorch, Kubernetes, Python, Azure, Docker, Gcp, Spark, Scikit-learn, Airflow, dbt