model selection , Machine Learning, Google Cloud Platform, Pyspark, Neural Networks, Deep Learning, Nlp, Algorithms, MLops, Python, Prompt engineering, Finetuning, Retrieval augmented generation, Model deployment, Embedding generation, Multi-modal models, Managed LLM gateways, Data Text Mining, Vector Databases, Classification, Big data platforms

causal inference , Tensorflow, Scipy, Pytorch, Pyspark, Python, Distributed Processing, CVXPY, Optimization Decision Engines, reinforcement learning, Gurobi

Sql, Spark, Python, heuristics, Integer Programming, Linear Programming, Classification, Operations Research, Regression, Time-series forecasting

Sql, Spark, Python, Predictive Modelling, Pandas, MLOps practices, Jupyter, AI agents, ML systems development, matching algorithms, cloud platforms, Forecasting, ML models, lift analyses

Redshift, Machine Learning, Hadoop, Apache Spark, Neural Networks, Python, Sql, Machine Learning Algorithms, R, Big Data tech stacks, Statistics, linear algebra

vehicle routing , Feature pipelines, Model deployment, heuristics, Network flow, Optimization methodologies, Optimization solvers, Model serving, Solver integration, Operations Research, Experimentation infrastructure, AI-native workflows