Observability tools (Prometheus, CI/CD tools (Jenkins, RabbitMQ), Messaging systems (Kafka, Containerization (Docker, Distributed caching (Redis, OpenShift), Splunk), Azure DevOps), Hazelcast), Java, Spring Boot, Maven, Grafana, Elk, Gradle, Kubernetes, Git, Cloud platforms, Microservices architecture, Distributed systems design

Software Engineering, automation, platform systems, secure development practices, CI CD infrastructure, AAMI standards, observability

snowflake , containerization , Azure ML, BigQuery, SQL Data Modeling, Python Programming Language, LLM-based agent frameworks, CI CD, ELT ETL frameworks, cloud-native development

Node.js, Distributed Systems, AWS, Public-facing secure APIs, Engineering Management

Java, Gcp, Python, AWS, AI tools, DevOps practices, CI CD pipelines, Go, monitoring observability tools

Spring Boot, React, Docker, MySQL, Flask, Python, AWS, Java, Graphql, Dynamodb, Jenkins, REST, Gcp, MongoDB, FastAPI, Azure, Kubernetes, Claude, Pinecone, GPT, GRPC, Autogen, LangGraph, GitHub Actions, Mistral, LangChain, FAISS, ArgoCD, Weaviate, Gemini

snowflake , Sybase, Intellij Idea, Spring Boot, Shell Scripting, Spring Data, Git, DB2, Core Java, Terraform, Apache Kafka, Spring Integration, Kubernetes, Spring Framework, VS Code

agentic AI-enabled engineering, incident response acceleration, legacy system modernization, modern technology solutions, automated test modernization, responsible AI risk controls, SDLC TLM automation, enterprise-authorized AI-assisted development, reuse-first strategies, Software Development Life Cycle toolchain, cloud native experience, resilience engineering, portfolio governance, post-trade technology platforms