Software Engineer

Summary

Backend and AI engineer with three years of production experience building Java/Spring Boot microservices and Python-based AI pipelines. At Accenture, I worked on the pharma content management platform serving Merck and Organon, where I contributed to a Strangler Fig migration from a legacy monolith to microservices on AWS ECS, built async event pipelines using SNS/SQS, and introduced Redis caching that cut API response times from 450ms to 90ms.
Since early 2026, I have been building AI systems at Arizona State University for the City of Mesa's environmental research platform, including a LangChain-based geospatial chatbot, a RAGAS evaluation harness benchmarked across 300 queries, and multi-agent workflows on AWS Bedrock maintaining 99.9% uptime.
Outside work, I built and deployed the Healthcare AI Agent, a multi-agent diabetes risk chatbot over 6,300+ ADA 2024 guidelines using Google Gemini API, LangChain, and Qdrant, achieving 91% retrieval precision. It is live at diabetichealthagent.streamlit.app.
I hold an M.S. in Information Technology from Arizona State University (GPA 4.0, December 2025) and a Snowflake SnowPro Core certification. I am actively seeking backend engineering and AI/ML engineering roles and am available on F-1 OPT STEM.

Expectations

I am looking for a backend or AI engineering role where I can own meaningful technical work end to end, whether that is building production LLM pipelines, designing microservices that handle real scale, or contributing to a platform that ships to real users. I thrive in teams that move fast, care about code quality, and treat engineers as first-class contributors to product decisions.
Ideally the role involves Python or Java, cloud infrastructure on AWS, and problems that sit at the intersection of systems engineering and applied AI. I am open to full-time positions across backend, AI/ML engineering, and platform engineering. I am based in Tempe, AZ and open to relocation or remote work.

Employment Preferences

Expected Base Salary

**,000 USD

Expected Total Compensation

**,000 USD

Expected Hourly Rate

** USD/hr

Academic Degree

Experience

Skills

• Java
• Spring Boot
• Python
• FastAPI
• REST API
• Microservices
• Distributed Systems
• AWS Lambda
• AWS ECS
• AWS Bedrock
• SNS
• SQS
• Redis
• PostgreSQL
• Hibernate
• JPA
• LangChain
• RAG
• Retrieval-Augmented Generation
• Multi-Agent Systems
• LLM
• Large Language Models
• Google Gemini API
• OpenAI API
• Qdrant
• Vector Database
• RAGAS
• Prompt Engineering
• MCP
• Model Context Protocol
• Claude Code
• GitHub Copilot
• Docker
• Kubernetes
• Terraform
• GitHub Actions
• CI
• CD
• Datadog
• CloudWatch
• Micrometer
• New Relic APM
• Kafka
• Apache Kafka
• JUnit 5
• Mockito
• Strangler Fig Migration
• Monolith To Microservices
• Backend Engineer
• Software Engineer
• AI Engineer
• Full Stack Engineer
• Cloud Engineer
• Snowflake
• SnowPro
• TypeScript
• React
• Streamlit
• XGBoost
• SMOTE
• BRFSS
• Amazon Transcribe
• Amazon Polly
• API Gateway
• S3
• DLQ
• Dead Letter Queue
• Observability
• Structured Logging
• MTTD
• Zero Downtime Deployment
• Pharma CMS
• Content Management
• Merck
• Organon