Kafka, Grafana, Datadog, Sql, Rabbitmq, Gcp, Docker, Sqs, Flask, FastAPI, Rest Apis, Python, AWS

Etl Development, Apache Spark, XGBoost, Python, Airflow, scikit-learn, data quality frameworks, cloud data platforms, drift detection, feature engineering, Databricks Workflows, model monitoring

Tensorflow, Pytorch, XGBoost, Apache Spark, CrewAI, LangGraph, LangChain, LSTMs, AWS Bedrock, RNNs, Scikit-learn

Git, Powerbi, Tableau, Databricks, Sql, Azure ML, MLFlow, MLOps processes and tools, Data Analysis, CI CD

MLops, Sql, Tableau

causal inference , Tensorflow, Sql, Git, Deep Learning, Python, Pytorch, Machine Learning, Spark, Operation Research

Ocr, Python, Nlp, re-ranking, instruction fine-tuning, Llm, Semantic Parsing, vector databases, Layout Analysis, NER, RAG, hybrid search, prompt engineering

quantitative models , Pandas, Kafka, Numpy, Python, Scipy, XGBoost, Websocket, scikit-learn, statistical methods, numba, position sizing, real-time data streaming, portfolio risk metrics, ML frameworks, derivatives pricing concepts, asyncio

Java, C, Javascript, Debugging, Python, ML infrastructure, data pipelines, Data Processing, model deployment, Go, model evaluation, Optimization