Python, Linux environments, Sparsity post-training techniques, Generative AI, Speculative decoding, Inference-focused evaluations, Sparse attention, Quantization, Neural network pruning and compression, Machine Learning systems

error analysis , Ml, Nlp, Pytorch, Python, embeddings, fine-tuning, experiment tracking, Transformers, LLMs, overfitting, HuggingFace, train validation test splits, prompt engineering, precision recall F1, RAG

Typescript, Javascript, Docker, Postgres, Python, AWS, Node.js, Redis, Gcp, FastAPI, Azure, Kubernetes, Prompt engineering, Hugging Face, Agent orchestration, Pinecone, LangGraph, NLP pipelines, OpenAI APIs, Function calling, RAG pipelines, Multi-turn dialogue systems, LangChain, Anthropic Gemini, LLMs, Vector databases, Conversational memory architectures, FAISS, Embedding models, Weaviate, LlamaIndex

simulated annealing , SQL Server, Autosched, discrete event simulation, Meta-Heuristics, ILOG CPLEX, evolutionary algorithms, Integer Programming, Gurobi, constraint programming, Linear Programming

Java, Machine Learning, Natural Language Processing, Node.js, Ruby, Restful Apis, Sql, Python, Deep Learning

Prometheus, Elk Stack, Azure Logic Apps, Grafana, Tensorflow, Pytorch, Azure Functions, Docker, Terraform, Python, Azure DevOps, Apache Spark, Ms Azure, Jenkins, Azure Data Factory, Ansible, Apache Kafka, FastAPI, Azure Machine Learning, Kubernetes, scikit-learn, MLflow, GitHub Actions, Application Insights, Azure ML Flow, AKS, DVC, CI CD tools, DevContainer, Azure Monitor