causal inference , bayesian inference , Cursor, Git, Pytorch, Gcp, Azure, Oracle, Python, AWS, fine-tuning, neural architectures, LLMs, FastAI, optimisation models, CodeRabbit, reinforcement learning, ACP, Experimentation Science, Agentic AI, DigitalOcean, evaluation metrics, MCPs

containerization , Apis, Azure ML, Nlp, Docker, Azure, Kubernetes, Python, embeddings, LLMs, RAG patterns, Azure OpenAI, prompt engineering, vector DBs, AI Search

Api Development, Tensorflow, Pytorch, Gcp, Azure, Python, AWS, Etl, LangChain, Airflow, data pipelines, LLMs, model deployment, Hugging Face, Scikit-learn, MLflow, prompt engineering, Kubeflow, LlamaIndex

data engineering , Nlp, Gitlab, Azure, Python, Aws

Api Development, Python, LangChain, LangGraph, AWS CDK, AWS Bedrock, LLM providers, Hugging Face, Serverless Framework, Azure OpenAI

Tensorflow, Pytorch, FastAPI, Kubernetes, Python, Cloud Architecture, Docker, LangChain, MLOps tools, scikit-learn, vector databases, AI ML libraries, LLM-based frameworks, AWS Bedrock, Pinecone, FAISS, PGVector

Pyspark, Sql, Databricks, Python, Airflow, LLMs, RAG frameworks, knowledge graphs, vector databases, machine learning fundamentals, Temporal, dbt, feature engineering

Python, Async workflows, Agent design patterns, Fine-tuning, Prompting strategies evaluation, Inference tradeoffs, Model optimization, APIs integrations

Nlp, Computer Vision, Python, model validation, machine learning theory, Speech Processing, Data Collection, applied statistics