data wrangling , Ml, Data Analytics, Optimization Algorithms, Python, data ML libraries, Ai, cleaning and validation, modern AI

snowflake , Hadoop, Sql, Mapreduce, Gcp, Data Integration, Azure, Python, AWS, data quality checks, data observability, Flink, R, large-scale data processing, ETL processes, Reconciliations

Model Context Protocol (MCP), Typescript, Pytorch, Python, AWS, Java, Scala, Clustering, Sql, Gcp, Azure, Secure cloud deployment, Advanced experiment design, Traditional ML, Optimization, Feature engineering, Forecasting, Validation, Cost management, Regression, Gradient-boosted trees, anomaly detection, GPU model serving, Causal methods, LLM applications, Responsible AI, Structured evaluation and monitoring of LLM systems

Retrieval-Augmented Generation (RAG), Statistical Analysis, Sql, Python, ML Operations, Generative AI, Metadata filters, Vector databases, Chunking, and pre-processing, Embeddings, R, LLM Operations, Data Collection, Fine-tuning, Data science pipelines, Cleaning

snowflake , MLops, Databricks, Python, Sql, anomaly detection, Decision Intelligence, Time-Series Analysis

Google Cloud Platform (GCP), Advanced Analytics, Machine Learning, web development, Sql, Angular, Deep Learning, Computer Vision, Docker, FastAPI, Python, Process Optimization, image analytics, cloud platforms, semiconductor yield analysis, Statistical Modeling

three.js , C++, Tensorflow, Opengl, Python, Boolean operations, 3D geometry, geometric transformations, Ai, Claude, vector graph databases, Torch, CGAL, vector math, Blender, RAG, Rivet, OpenAI, coordinate systems

Machine Learning, Nlp, Pytorch, Spark, Python, Sql, Deep Learning, Etl, Llm

Machine Learning, MLops, Predictive Modelling, Statistical Analysis, AI-assisted Development Tools

Large Language Models (LLMs), Hadoop, Tensorflow, Pytorch, Spark, Azure, Python, Machine Learning Algorithms, AWS, Signal Processing, Generative AI, cloud environments, R, feature extraction techniques, time-series analysis, data preprocessing techniques