Technologies and engineering practices I have used across backend development, distributed systems, cloud infrastructure, production operations, and AI-agent platforms.
Java • Python • TypeScript • JavaScript • SQL • Shell Scripting
Spring Boot • FastAPI • REST APIs • GraphQL • Microservices • J2EE / MVC
LangGraph • MCP • Azure OpenAI • Reusable Agent Abstractions • Agent Orchestration
AWS • Azure • Kubernetes • Docker • CI/CD • Akeyless
MySQL • Azure Cosmos DB • Azure Blob Storage • Kafka
openObserve • Splunk • Grafana • CloudWatch • Production Monitoring • Incident Response
Unit Testing • Contract Testing • E2E Testing • Regression Testing • Functional Testing • Performance Validation • API Linting • TestCafe
Git • GitHub Copilot • Cursor • Nx • Jenkins • Power Automate
Worked with Azure-based production applications at Walmart using Cosmos DB, Blob Storage, Kubernetes, Azure OpenAI, and related application integrations.
Built AWS serverless workflows using Lambda, EventBridge, S3, CloudWatch, SAM, Python, and boto3 at the University of Texas at Dallas.
Worked with Kubernetes-hosted production applications, application configuration, sidecar integrations, troubleshooting, and workload capacity optimization.
Java/Spring Boot and Python/FastAPI backend services, including REST and GraphQL-integrated systems.
Kafka-based event schemas, payload transformations, and production communication workflows.
Application integrations and data access using MySQL, Cosmos DB, and Azure Blob Storage.
Production services involving asynchronous workflows, downstream integrations, retries, validation, observability, and failure handling.
Built reusable agent foundations and production agents using Python, LangGraph, and ReAct-style orchestration.
Worked with Azure OpenAI as the LLM provider within production AI-agent systems.
Built MCP-based integrations to separate agent orchestration from external tool capabilities.
Designed reusable agent and memory abstractions so multiple business units could build domain-specific agents on shared foundations.
My experience is focused on AI application and agent infrastructure, rather than model training, fine-tuning, or ML research.
HLD / LLD • API Design • Integration Design
On-Call • Incident Response • RCA • Troubleshooting
Automated Testing • Regression • Contract Testing • Production Readiness
Cross-Team Design • Technical Documentation • Mentoring • Knowledge Transfer
Latency Optimization • Workload Profiling • Capacity Right-Sizing
I use GitHub Copilot and Cursor as engineering productivity tools for code exploration, implementation, debugging, refactoring, test development, and documentation. I retain responsibility for architecture, validation, code quality, and production behavior.
Used through internship integration work and academic software/security projects rather than primary professional production ownership.