An event-driven pipeline that ingests high-volume device telemetry and fans it out to downstream consumers without coupling them to the producer.
- Python
- Apache Kafka
- Redis
- Kubernetes
Open to Software Engineer roles
Surya Teja Kommuguri
Backend
Full-Stack
Frontend
SDE
Software Engineer at GE HealthCare. I build distributed, event-driven backends for healthcare platforms — where latency, reliability, and compliance all matter at once.
~/surya
$ whoami
software engineer · backend-leaning full-stack
$ company
GE HealthCare — platform engineering
$ location
Tempe, AZ · open to remote
$ stack --top
python · typescript · kafka · aws
Ask AI
Ask Surya AI
Ask about Surya's experience, projects, or stack — answered from his background, with sources.
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Capabilities
Skills
The tools I reach for — as groups, or as a graph of where they connect across my work.
Languages
- Python
- Java
- TypeScript
- SQL
- Bash
Backend & APIs
- FastAPI
- Django
- Spring Boot
- Node.js
- REST
- GraphQL
Distributed Systems
- Apache Kafka
- RabbitMQ
- Redis
- Celery
- Event-driven design
Observability
- OpenTelemetry
- Datadog APM
- Prometheus
- Grafana
- ELK Stack
Cloud & DevOps
- AWS (EKS, EC2, S3, RDS)
- Docker
- Kubernetes
- Helm
- GitHub Actions
Data
- PostgreSQL
- MySQL
- MongoDB
- Elasticsearch
Selected work
Featured projects
A few things I've built. Each one solved a concrete problem under real constraints.
A shared tracing and metrics layer across a fleet of platform services, built so on-call engineers can find the failing hop in minutes, not hours.
- OpenTelemetry
- Datadog APM
- Grafana
- Python
A high-uptime prescription and clinical-note service for an EHR platform, with a REST layer tuned for fast mobile clients and strict data-access controls.
- Django
- PostgreSQL
- FHIR R4
- REST
System design
How this site works
This portfolio is its own case study. These are the real architectures running behind it.
A recruiter's question is answered from my real background, with citations — not a generic chatbot.
The flow
- 01Browser — Recruiter asks a question
- 02FastAPI / Lambda — POST /v1/ask — validates, rate-limits
- 03BM25 retriever — Top chunks from a build-time index
- 04Claude Haiku — Grounded answer from retrieved context
- 05Answer + sources — Cited sections, related skills
Why this way
Retrieval keeps answers grounded in real facts and citable; a build-time index (no vector DB) and one Haiku call keep it cheap, and a DynamoDB daily counter hard-caps spend.
Experience
Where I've shipped
Impact, not job descriptions — the numbers are verifiable against the case studies.
GE HealthCare
Aug 2025 — Present
Software Engineer II — Platform Engineering
Platform services behind mission-critical diagnostic imaging workflows: high-volume device telemetry, real-time ingestion, and downstream clinical integrations.
- Architected Kafka event streaming for device telemetry — 120K+ msgs/sec sustained at sub-100ms p99
- Cut end-to-end pipeline latency 38% with an async FastAPI refactor and a Redis caching layer
- Instrumented tracing across 6 services with OpenTelemetry + Datadog — 52% faster incident detection
- Shipped LangChain summarization in the clinical report pipeline — 20% less radiologist review time
- Python
- FastAPI
- Kafka
- Redis
- AWS EKS
- Kubernetes
- Helm
- OpenTelemetry
- Datadog
HealthPlix Technologies
Apr 2021 — Dec 2023
Full-Stack Software Engineer — EHR Platform
Built MedAssist and CareCoordinator, EHR products used by clinicians across partner hospital networks — backend services, React frontends, and FHIR integrations.
- Built prescription + SOAP note modules in Django — 2M+ monthly prescriptions at 99.9% uptime
- Took API response times from 420ms to 95ms via PostgreSQL query optimization and index tuning
- Migrated a monolithic patient-record service to event-driven RabbitMQ — decoupled 5 consumers
- Integrated FHIR R4 across 3 partner hospital networks — 65% less manual data sync
- Python
- Django
- React
- TypeScript
- PostgreSQL
- RabbitMQ
- Redis
- ELK
- GitHub Actions
Education
Education
Arizona State University
M.S. in Information Technology · Ira A. Fulton Schools of Engineering
Jan 2024 — Dec 2025
Background
About
I'm a backend engineer who likes the unglamorous parts of software: the queues, the indexes, the traces that tell you what actually happened at 3am. Most of my work sits behind the UI, where correctness and latency are the whole job.
I've spent the last few years on distributed, event-driven systems in healthcare and platform domains — designing services that stay fast under load and stay debuggable when they don't. I care about clear interfaces, honest observability, and code the next person can change without fear.
I'm currently open to software engineering roles across the stack — backend, full-stack, or frontend — anywhere the problems are real and the bar for engineering is high.
Contact
Get in touch
Have a role or a problem worth solving? Send a note, or email me directly.