I build backend and data systems that need to stay calm when the workload is not.
My favorite work lives where architecture, performance, and product usefulness overlap: Spring services, batch engines, API platforms, Spark/AWS Glue/Airflow data flows, developer tooling, and AI agent infrastructure. I am an AI and data engineer building AI agents with production guardrails. At Experian, I have worked on systems where runtime, throughput, reliability, and clarity all matter at the same time.
recent impact
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spark / glue-airflow re-engineered Big Data batches from 85 minutes -> 7 minutes
throughput 12x gain across analytics and ML pipeline workloads
spring backend Spring Boot + Batch services for verification reporting
search / data APIs employer search and high-volume property data platforms
cache layer Redis and Ehcache-backed flows for faster reads
api performance 6x response improvement in critical paths
leadership led teams through delivery, debugging, and production fixes
--------------------------------------------------------------------------------| Ship | Signal | Stack |
|---|---|---|
| robyn_mcp | Governed MCP for Robyn APIs. PyPI / Website | Python, Robyn, MCP, OpenAPI |
| Short URL Service | Distributed, scalable URL shortening service with cache-aware redirects, clean service boundaries, and reliable URL management. | Java, Spring Boot, Ehcache, SQL |
| Vocal Verse | Reusable translation, speech synthesis, and transcription workflows. | Python, Whisper, OpenAI, gTTS |
| Vintage Knowledge | Interactive C programming learning site with searchable lessons. | PHP, HTML, CSS, JavaScript |
I care about:
- systems that are observable before they are mysterious
- APIs that make the right thing easy
- performance wins that users and teams can actually feel
- abstractions that remove real complexity
- code that another engineer can trust at 2 AM
I avoid:
- cleverness that hides behavior
- dashboards with no operational truth
- "works on my machine" engineering
- fragile glue pretending to be architecture
/projects/robyn_mcp governed MCP for Robyn APIs
/systems/short-url Spring Boot + Ehcache redirects built for scale
/systems/big-data Spark + AWS Glue/Airflow runtime surgery, 85m -> 7m
/systems/verification Spring Batch services for reporting and employer data
/architecture/apis service contracts that stay usable under pressure
/ai-agent-infra AI agents with guardrails, context, tools, and runtime safetyif contact == "email":
return "vamshi-madhavan@outlook.com"
elif contact == "linkedin":
return "linkedin.com/in/Vamshi0104"
elif contact == "portfolio":
return "vamshi0104.github.io/imVamshi"
elif contact == "github":
return "github.com/Vamshi0104"status: shipping systems that are fast enough to feel invisible