causal inference , Large language models (LLMs), Google Cloud Platform (GCP), Cloud Engineering, Machine Learning, Microsoft Azure, Predictive Modeling, Artificial Intelligence, Python, AWS, Scalable machine learning systems, Counterfactual methods, Research and experimentation, Data streaming pipelines, Retrieval-augmented generation, Real-time inference, Statistical machine learning, Transformer architectures, AI orchestration

Tensorflow, Pytorch, Docker, Python, LangChain, pgvector, Qdrant, MLflow, Pinecone, LlamaIndex

render , Machine Learning, Docker, XGBoost, Python, Sql, Forecasting, LightGBM, Supabase, CatBoost

Python, LLM fine-tuning, third-party APIs, prompt-based systems, ML tooling, RAG pipelines

Machine Learning, Gcp, Artificial Intelligence, Azure, Python, AWS, LLMs, Transformer Models, Statistical Machine Learning Algorithms

data preparation , prophet , Machine Learning, Sql, Tensorflow, Data Science, Pandas, Pytorch, Docker, Arima, Python, LSTMs, Airflow, scikit-learn, LightGBM, MLflow, time-series forecasting, Sagemaker, AWS Cloud Platform, data quality assessment, Transformers, MLOps tools, statsmodels

Java, Golang, Machine Learning, Webrtc, Kubernetes, Python, real-time audio, Ai, Voice AI, STT, TTS, Telephony, LLM-based applications

data engineering , Machine Learning, Tensorflow, Pytorch, Docker, XGBoost, Python, AWS, Sql, Git, MLops, Azure, Feature Engineering, ML Pipelines, Model Evaluation, CI CD, Scikit-Learn, LangGraph, Model Deployment, ML Modelling, LangChain, CrewAI, LightGBM, AutoGen, Agentic AI