containerization , BigQuery, API design, Automated Testing, MLops, Gcp, Python, Computer Vision, Generative AI, Prompt engineering, Model versioning, Statistical models, Progressive deployment, Hybrid retrieval, Vector embeddings, Feature engineering, Cloud Run, Vertex AI, Multi-agent architectures

bedrock , Lambda, Pytorch, MLops, Docker, Spark, Kubernetes, Python, AWS, Etl, Hugging Face, Flink, CI CD, Monitoring, SageMaker, vector DBs

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

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

Machine Learning, Generative AI, AI-first engineering, modern SDLC practices, ML frameworks

Java, Version Control Systems, Machine Learning, Artificial Intelligence, Neural Networks, Deep Learning, Tensorflow, Pytorch, Linear Regression, Decision Trees, Keras, Python, Agentic Frameworks, Statistics, Random Forests, Mathematics, reinforcement learning, Support Vector Machines, Sci-kit, R, Lineage Tracking

Machine Learning, Nlp, Pytorch, Docker, Rest Apis, Kubernetes, Python, Hugging Face Transformers, RAG, vector databases

Scipy, Hadoop, Deep Learning, Tensorflow, Numpy, Nlp, Pytorch, Gcp, Spark, Time Series, Azure, Python, AWS, reinforcement learning, Recommendation Systems, R, Vertex AI, Classical ML

Sql, Nltk, Gcp, Docker, Pytorch, XGBoost, Databricks, Kubernetes, Python, AWS, Scikit-learn, spaCy