production deployment , Software Development, Apis, Pytest, Sql, Microservices, Devops, MLops, Docker, Cloud Infrastructure, Kubernetes, Python, Airflow, Infrastructure as Code, AI ML engineering, NoSQL databases, MLOps orchestration tools, Ray, CI CD, Prefect

Java, Tensorflow, Pytorch, Gcp, Machine Learning, Azure, Python, AWS, Anomaly failure detection, Scikit-learn, R, Industrial sensor data, Time-series analysis, Signal Processing

prognostics , Cloud platforms (AWS, Azure), Java, Exploratory Data Analysis, Tensorflow, Deep Learning, Pytorch, MLops, Machine Learning, Gcp, Python, Scikit-learn, Data Processing, Fault Diagnosis, R, Condition Monitoring, Time-series analysis, Signal Processing

bedrock , Lambda, Python, Api Gateway, AWS, S3, Testing, Code Review, embeddings, Generative AI, Step Functions, RAG architecture, hallucination controls, CI CD, OpenSearch, Comprehend, vector stores, SageMaker, evaluation frameworks, Textract, LLM integration, observability, prompt engineering

Tensorflow, Machine Learning, Pytorch, Computer Vision, Python, DevOps practices, video analytics

VMware, Ml, Gdpr, Gcp, MLops, Azure, AWS, Generative AI, Cloud-native AI Deployment, AI Agents, FinOps, Ai, CCPA, Vector Search, Containerisation, AI Governance Frameworks, Responsible AI Practices, Model Monitoring, Drift Detection, LLM Fine-tuning, Prompt Engineering, RAG Pipeline Development

Redis, Tensorflow, Pytorch, Gcp, Docker, Opencv, FastAPI, Python, AWS, timm, SAM, Hugging Face Transformers, self-supervised pre-training, torchvision, BLIP, CLIP, contrastive learning, DINOv2, zero-shot adaptation, SigLIP, DETR

messaging platforms , Python development, Kubernetes, Docker, Rest Apis, agent orchestration frameworks, Relational Databases, Large Language Models, Model Context Protocol, event-driven architectures, prompt engineering, OpenAPI-based services

Apis, Python, Claude Gemini, RAG Retrieval-Augmented Generation, embeddings, knowledge bases, LLMs, retrieval pipelines, AI-native platforms