Tensorflow, Personalization, Recommender Systems, Pytorch, Spark, Python, embeddings, LLMs, MaxCompute, Scikit-learn, LLVMs, graph-based methods, Search, large-scale datasets, ranking models, collaborative filtering

causal inference , simulation modeling , Power Bi, Tableau, Sql, Python, Prompt engineering, AI LLM-assisted workflows, Looker, R, Copilots, AI agents, ETL pipelines

model development , Autoencoders, Deep Learning, Pytorch, Python, Logistic Regression, Machine Learning, Bam, Clustering, CRAM, scikit-learn, genomic feature matrices, random forests, SVMs, CNNs, FASTQ, dimensionality reduction, feature-selection methods, Validation, data preprocessing, Transformers, next-generation sequencing, performance evaluation, attention-based models, gradient boosting, VCF, feature engineering

snowflake , Devops, Azure, ML ops, Qlik Visualization

data engineering , Design of Experiments (DOE), Advanced Analytics, Machine Learning, Python Programming, Sql, Statistical Modeling, Automated analysis

three.js , Data Manipulation, Machine Learning, Tensorflow, Opengl, Python, Boolean operations, AI Agents, 3D geometry, geometric transformations, Ai, vector graph databases, Claude, Torch, CGAL, vector math, Blender, RAG, Rivet, OpenAI, coordinate systems, Reporting

BigQuery, Power Bi, Tableau, Sql, Databricks, Predictive Analytics, Statistical Analysis, Python, Generative AI, CPLEX, OR-Tools, Looker, Optimization, Vertex AI, Gemini, Gurobi, Large Language Models

Python, Sql, Google Cloud, ML Operations, Generative AI, R, Large Language Model, LLM-as-a-judge, cloud-native platforms, Retrieval-Augmented Generation, prompt engineering