MLops, Version Control, Sql, Python, Full Stack Development, Data Preprocessing, Classical Machine Learning Algorithms, Model Evaluation, Statistical Modeling, Deep Learning Libraries

Predictive Modelling, Data Analytics, Deep Learning, Tensorflow, Web Crawling, Git, Pytorch, Azure, Python, AWS, data management tools, scraping techniques, Data Communication, feature engineering, statistical programming

text classification , Sql, Git, Docker, Python, LangChain, multi-agent systems, embeddings, input output validation, RAG platforms, LLM-as-judge, offline eval sets, LLM-based inference, regression tracking, graph RAG, DSPy, feature engineering, NER, LlamaIndex

Sql, Data Manipulation, Machine Learning, Python, Nlp, Git, AWS Cloud Stack, LLMs, GANs, feature engineering, scikit-learn, Hugging Face Transformers, generative AI

snowflake , Pyspark, Kafka, Grafana, Docker, Neo4j, Python, Sql, MLops, Cloudwatch, FastAPI, Kubernetes, MLflow, Pinecone, OpenSearch, LangGraph, GitHub Actions, data lineage platforms, ChromaDB, LangChain, FAISS, Delta Lake, MCP, LlamaIndex

Nlp, LangChain, GPU optimization, Airflow, Triton Inference Server, DeepSpeed, speech models, distributed training, multimodal transformer models, MLflow, Ray, real-time video processing, Vector DBs, Horovod, Cv, RAG, KServe

Numpy, Postgis, Pandas, Python, Sql, AI Agents, Shapely, Scikit-learn, GeoPandas, Agent Orchestration, Folium

data engineering , snowflake , Machine Learning, Hadoop, Sql, Deep Learning, Data Science, MLops, Spark, Databricks, Azure, Python, Model Life Cycle Management

Pyspark, Machine Learning, Cicd, Databricks, Azure, Python, Time Series Forecasting, ADF pipelines, Demand Forecasting

Tensorflow, Pytorch, Sql, Python, scikit-learn, MLOps practices and tools