Tensorflow, Pytorch, Docker, Map, Python, AWS, Gcp, Cloud, MLops, Opencv, Azure, Kubernetes, Computer Vision, SAM, U-Net, PRECISION, ResNet, CLIP, IoU, MobileNet, recall, Faster R-CNN, DETR, ViT, EfficientNet, F1, Mask R-CNN, YOLO, Swin Transformer

Docker, Kubernetes, Python, LLM inference optimization, open-source LLMs, gRPC APIs, vLLM

model development , Data Cleaning, Sql, Numpy, Pandas, Python, offline evaluation, time-series data anomaly detection, scikit-learn, field validation, Forecasting, Classification, hybrid ML plus heuristics, Regression, rule-based systems, deployment monitoring, signal validation, drift detection, feature engineering

Docker, Python, Ml, MLops, Kubernetes, embeddings, DPO, vector databases, MLflow, Llm, LangGraph, retrieval, LLM evaluation, LangChain, fine-tuning, SFT, agent frameworks, vLLM, Agentic AI, LoRA, RAG, reranking, W B, QLoRA, model serving

Deep Learning, Nlp, Pytorch, Python, AWS, Gcp, Spark, Azure, Kubernetes, embeddings, inference, Video, end-to-end ML systems, Llm, VLM, training pipelines, fine-tuning, generative AI, cloud platforms, Vision, RAG, Production Monitoring, feature engineering, distributed data processing

Machine Learning, Pandas, Docker, Spark, Sql, Python, Kubernetes, Generative AI, LLM technologies

Java, Hadoop, Sql, Hive, MLops, Spark, Statistical Modelling, Python, Machine Learning Algorithms, LLMs, generative AI, Go, optimisation techniques, Monitoring, RAG

Tensorflow, Deep Learning, Java, Machine Learning, Pytorch, Keras, automation, Python, Data Analysis, R

Java, Nosql, Machine Learning, Perl, Natural Language Processing, Big Data, Python, Document Retrieval, Map-Reduce, Search Engine Technologies

Java, Apis, Node.js, Kotlin, React, Gcp, Docker, Distributed Systems, Azure, Python, Kubernetes, AWS, RAG embeddings, Prompt engineering, LLMs, Vector databases, Modern frontend frameworks, semantic search, Messaging, Data pipelines, Tool calling, Event-driven architectures