graph databases , data engineering , Python, Databricks, Sql, Devops, Agile Methodologies, Rest Apis, Pandas, Etl, Nosql, Gcp, ELT, Microservices, Automated Testing, Spark, LLMs, LangChain, RAG, semantic retrieval, LangGraph, GPT, cloud-native applications, AI LLMOps, Agentic AI, Generative AI

Datadog, AWS, Redis, Spring Boot, Java, Kubernetes, Postgres, Helm, Kafka, LangChain, Temporal, LangGraph

operational readiness , containerization , Technical Leadership, api design, python development, Code Review, aws, microservice architecture, MLops, Computer Vision, production-grade software systems, mentoring engineers, document understanding, architecture review, ci/cd pipelines, performance optimization, Predictive Maintenance, Cost Optimization, generative ai, devops practices, ai model serving, security review

Java, Python, Golang, GenAI, LLM Models, MCP and A2A protocols, Secure coding practices, Software development and legacy code transformation, Unit testing practices

RAG Retrieval-Augmented Generation, Claude LLM Integration, AWS SageMaker, AI ML Workload Optimization, Amazon Bedrock, Agent Core, Data Architecture for AI ML

AWS, Splunk, Java, Grafana, Dynatrace, Datadog, Gitlab, Prometheus, Kubernetes, Python, Terraform, Jenkins, Scala, Big Data ETL pipelines, observability, SRE best practices

Visual Studio, Azure Sql, Azure cloud services, orchestration templates, vector search, security across application and data layers, observability in GenAI applications, scalable microservices, reusable components, DevOps practices, API design principles, cloud-native delivery, model safety, prompt libraries, prompt optimization, LLM-integrated systems, micro front-end architecture, multi-step task orchestration, context management, Cost Optimization, containerized workloads, SDKs, front-end applications familiarity

data preparation , Sql, Predictive Modelling, Machine Learning, Data Science, Python, Statistical Analysis, model performance optimisation, feature extraction, Notebooks, feature engineering, modern data-processing frameworks, machine learning libraries, scalable data pipelines, cloud-based environments, feature generation workflows, feature selection, dimensionality reduction

Phoenix, Python, AWS Bedrock, OpenSearch, Promptfoo, Azure OpenAI, LangSmith, DeepEval, Weaviate, AI Agents, Azure AI Search, RAGAS, TruLens, Pinecone, OpenAI APIs, Google Vertex AI, Chroma, Generative AI