BACKEND AI ENGINEER · PHOENIX, ARIZONA

HARIPRASATH

Murugasundaram

Backend AI engineer with 4+ years designing and scaling distributed systems, microservice architectures, and high-throughput APIs, serving 5M+ users while cutting latency by 60% and saving $40K/month in infrastructure costs. Builds and ships production AI systems too, from LLM agent pipelines to RAG workflows and HIPAA-compliant clinical tools for healthcare. Contributor to Pion and Google's Agent Development Kit. Excited to solve hard technical problems using modern stacks and comfortable working across cross-functional teams to deliver end-to-end solutions.

4+
YEARS OF EXPERIENCE IN SCALABLE APPLICATIONS
3+
YEARS · AI & ML SYSTEMS
6M+
USERS SERVED
60%
P95 LATENCY REDUCTION
$40K+
MONTHLY INFRA SAVINGS
10+
PRODUCTION APPLICATIONS
EXPERIENCE

THREE ROLES.
PRODUCTION IMPACT.

FOUR YEARS BUILDING SCALABLE BACKENDS, MICROSERVICES, AND AI SYSTEMS ACROSS HEALTHCARE, CONSUMER APPS, AND ENTERPRISE CLOUD MIGRATIONS.

01

UNIVERSITY OF ARIZONA

SENIOR APPLICATION DEVELOPER

FEB 2026 – PRESENT · PHOENIX, AZ

  • Core engineer building HIPAA-compliant AI tooling for clinical staff
  • AI-powered clinical workflows with React Native, Next.js, and FastAPI
  • AI agents subsystem that cut workflow creation effort by 40%
  • Secure HIPAA & FHIR data pipelines for clinical data exchange
  • Offline-first architecture with secure local storage and background sync
02

EVENTBEEP

SENIOR BACKEND DEVELOPER

FEB 2022 – AUG 2024 · REMOTE

  • Backend services for 5M+ users on Node.js and AWS
  • Cut P95 API latency 60% via Redis caching and Lambda migration
  • In-house WebSocket + Redis chat — saved $40K+/month in vendor costs
  • LLM recommendation engine lifted engagement ~30%
  • Decomposed monolith into microservices on AWS EKS
  • Fixed caching bug in Pion WebRTC library; shipped REST API for 50+ institutions
03

IBM

ASSOCIATE DEVELOPER

SEP 2020 – FEB 2022 · REMOTE

  • Migrated on-prem production systems to IBM Cloud
  • Database tuning via indexing, materialized views, and query plans
  • MERN portal on AWS for cloud migration tracking — 40% less manual reporting
  • Hosted 5+ concurrent production systems on custom Linux stack
  • Automated provisioning with Terraform across release pipelines
PROJECTS

SHIPPED SYSTEMS.
REAL OUTCOMES.

PRODUCTION AI APPLICATIONS SPANNING RAG PIPELINES, AGENTIC HEALTH TOOLS, AND AUTOMATED VOICE ANALYTICS — FROM PROTOTYPE TO DEPLOYMENT.

EDUCATION

DEGREES.
DISTINCTION.

GRADUATE AND UNDERGRADUATE DEGREES WITH HONORS, PLUS AWARDS IN RESEARCH, CLOUD, AND PRODUCTION ENGINEERING.

MS · INFORMATION SCIENCE

Master's in Information Science — graduated with Distinction and a perfect GPA.

  • NLP & Large Language Models
  • Database Systems
  • Distributed Computing
  • System Design

Tucson, AZ · Jan 2025 – Dec 2025

U OF ARIZONA · MS
4.0 GPA

Distinction · 12-month program

SKILLS

FULL STACK.
AI NATIVE.

FROM LLM AGENT PIPELINES AND DISTRIBUTED BACKENDS TO CLOUD INFRA, DATABASES, AND MODERN FRONTENDS — BUILT FOR PRODUCTION AT SCALE.

LangChainAI
LangGraphAI
RAGAI
FastAPIBackend
Node.jsBackend
WebRTCBackend
KafkaBackend
AWSCloud
DockerCloud
KubernetesCloud
TerraformCloud
PostgreSQLData
MongoDBData
RedisData
ReactFrontend
Next.jsFrontend
React NativeFrontend
PythonLanguages
TypeScriptLanguages
JavaScriptLanguages
LangChainAI
LangGraphAI
RAGAI
FastAPIBackend
Node.jsBackend
WebRTCBackend
KafkaBackend
AWSCloud
DockerCloud
KubernetesCloud
TerraformCloud
PostgreSQLData
MongoDBData
RedisData
ReactFrontend
Next.jsFrontend
React NativeFrontend
PythonLanguages
TypeScriptLanguages
JavaScriptLanguages