containerization , Azure ML, MLops, Python, Azure DevOps, Data Science, Machine Learning, Incident Response, LangGraph, Azure OpenAI Service, AKS, CI CD, Observability, Monitoring, Generative AI, ML Platform Reliability

Data Science, Machine Learning, Python, Sql, Ai, Statistical Modeling, Cloud Data Platforms, Analytics

Code Review, Azure, Python, Production ML and model deployment, AI-assisted coding workflows and coding agents such as Codex, Technical mentorship and communication, Forecasting, Generative AI, Reusable package design, Optimization, Applied statistics modeling and rigorous evaluation, Production-quality code testing, Open-source contribution and reusable package development, experimentation, Data pipelines, Databricks environments

Sql, Deep Learning, Machine Learning, Predictive Modeling, Python, Site experimentation, Statistical methods, Ensemble models, R, Inferential analysis, experimentation, Transformer-based methods

causal inference , Python, Sql, product analytics, experimentation design, generative AI tooling, Ai, event instrumentation

snowflake , probability , triton , Pytorch, Docker, Postgres, Python, BigQuery, Sql, MLops, Spark, Statistical Inference, Airflow, prompt tuning, A-B design, pgvector, Hugging Face, Ray, MLflow, class weighting, Evaluation, RLHF, PEFT, fine-tuning, experiment tracking, transfer learning, vLLM, resampling, SageMaker, Bayesian Methods, dbt

Tensorflow, Machine Learning, Pytorch, Pyspark, Sklearn, Python, Time Series Forecasting

Java, Dockers, C, C++, Data Structures And Algorithms, Kubernetes, Golang, AWS, Cloud native technologies, Object-Oriented Concepts and Design, Microservices architecture