Retrieval Augmented Generation (RAG), Large Language Models (LLMs), Java, Sql, Tensorflow, Pytorch, MLops, Predictive Modeling, XGBoost, Clustering, Python, embeddings, Scikit-learn, Go, Forecasting, vector databases, Classification, recommendation systems, CI/CD, Fraud Detection, ranking

Prometheus, Grafana, Tensorflow, Pytorch, Terraform, Docker, Flask, FastAPI, Python, Kubernetes, Infrastructure as Code, Scikit-learn, artifact management, GRPC, CI/CD pipelines, model registries, Evidently AI

data engineering , Python, Pandas, Numpy, Pytorch, scikit-learn, Testing and release, Development processes, Source control management, Build processes, Production ML systems, ML pipelines, ELT data pipelines, ML research methodologies

Kubernetes, Java, Python, Docker, Metaflow, Kubeflow, MLflow, TFX, Go, Google Vertex AI, AWS SageMaker

FastAPI, Java, C++, Data Structures, Redis, Django, Algorithms, Gcp, Flask, MongoDB, Python, AWS, LLM-based systems, Hugging Face, Go, Object-oriented programming, OpenAI API, CI/CD, SQL databases, AI-assisted coding tools, Gemini

data engineering , Sql, Python, Hadoop, Pyspark, Spark, Big Data processing frameworks

Machine Learning, Databricks, Python, Sql, Deep Learning, Graph Modelling, Knowledge Graphs, Identity Access Graph

Tensorflow, Machine Learning, Pytorch, Opencv, Ocr, Python, Computer Vision, Deep Learning, GenAI, LLMs, PIL

Python, Tensorflow, Pytorch, Docker, Kubernetes, Cloud Platforms

Video Codecs, Cuda, Pytorch, Python, Computer Vision, Git, video processing pipelines, model evaluation frameworks, inference optimization, MLOps tools, MLflow, streaming technologies, deep learning frameworks, attention mechanisms, PEFT, continuous experimentation infrastructure, CNNs, GPU-based training, LoRA, Weights Biases, Transformers