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

Machine Learning, Kafka, Tensorflow, Data Science, Nlp, Pytorch, Docker, Python, C++, Apache Spark, Software Engineering, Time Series Analysis, FastAPI, Kubernetes, Go, Flink, GRPC, LLMS RAG pipelines, CI/CD for ML, LangChain, Forecasting, Triton Inference Server, Vector databases, anomaly detection

Git, Python Programming, Lang Chain and Lang Graph, Experience with Lang fuse, Understanding of agentic design patterns and workflow orchestration, Working with Databricks and modern data platforms, Prompt engineering and context engineering, RAG embeddings semantic search

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

Python, Computer Vision, Deep Learning, Tensorflow, Machine Learning, Opencv, Pytorch, LLMs, Fine-tuning, OCR engines, GenAI, Prompting, GenAI systems, PIL

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

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

Spark, Sql, Kafka, Machine Learning, MLops, AWS, Python, Kubernetes, Docker, Ai, anomaly detection, Time-series forecasting, Real-time data processing

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

error analysis , Deduplication, Pytorch, Python, Cloud Storage, Statistical Analysis, data augmentation, model training, model-based labeling, distributed compute, Active Learning, VLMs, Hugging Face LLMs, ablation studies, dataset curation, benchmark evaluation, workflow orchestration, weak supervision, Batch Processing, inference evaluation, synthetic-data generation, Production Monitoring, data-quality measurement, diffusion models, multimodal models