Hey, I’m Harshavardhan. I build the backend systems people quietly rely on.
I’m a senior backend engineer in Hyderabad with more than five years spent designing, shipping, and owning distributed systems end to end. The work I care about is the unglamorous kind — zero-downtime schema migrations, incidents chased to their real root cause, and pipelines that refuse to drop a message.
A little about me
I started out at Thoughtworks, where nearly five years of consulting taught me to walk into an unfamiliar codebase, earn a team’s trust, and hand the system back in better shape than I found it. Today I’m a Senior Member of Technical Staff at Bluecopa, working on the backend behind finance and accounting data automation.
I’m happiest a layer or two below the surface — in the schema, the message broker, the migration that has to run while thousands of events keep flowing. I’ve built event-driven systems that move 10K+ events a day without losing one, and I treat a clean failure mode as part of the feature rather than an afterthought.
Mostly I work in Java, Kotlin, and Python across AWS and GCP. I care just as much about the craft around the code: tests that genuinely exercise the domain, observability you can actually reason with at 2am, and designs the next engineer can follow without a map.
Lately a growing share of that work is LLM-powered — building AI agents, the tool-calling that lets them act, and the evaluation and guardrails that keep them honest. It’s the same instinct as everything else I build: make it capable, then make it fail safely.
Where I’ve worked
A backend engineer’s path through product and consulting — newest first.
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Apr 2026 — Present
Senior Member of Technical Staff
- Designed and built a multi-tenant, self-service data platform where enterprise customers define and evolve their own typed schemas at runtime, with automated zero-downtime migrations across isolated tenant databases.
- Turn production data-integrity failures into fail-closed fixes that retire the whole failure class, backed by recovery runbooks the on-call team can follow.
- Architected an enterprise email-ingestion backend and its Microsoft (Azure AD) OAuth integration, defining the security, consent, and onboarding model for customer mailbox connectivity.
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Sep 2024 — Mar 2026
Senior Consultant, Application Developer
- Led the design of a high-throughput push-notification service on AWS SNS and Spring Boot — 10K+ events a day, with batching, tuned thread pools, retry scheduling, and idempotent, fault-tolerant workflows.
- Introduced Avro-based, event-driven messaging on AWS Glue Schema Registry and MSK, then drove its adoption across teams.
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Aug 2021 — Aug 2024
Consultant, Application Developer
- Built Spring Boot and Kafka microservices and led full-stack delivery through a React front-end, and defined an AWS disaster-recovery strategy for the platform.
- Shipped REST APIs and Kafka consumers for GDPR and CCPA data-deletion flows, holding the codebase at 90% test coverage.
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Apr 2021 — Aug 2021
Software Engineer Intern
- Built a Java starter kit with test-driven development, structured logging, and secret management baked in from the first commit.
A few things I’m proud of
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A self-service data platform
Enterprise customers model their own typed tables and reshape them whenever they need to. Migrations run underneath — isolated per tenant, and without downtime.
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A notification pipeline at scale
A push service on AWS SNS delivering 10K+ events a day: batched, retried, idempotent, and hard to knock over under real load.
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An event-driven backbone
Avro on Kafka and MSK, with a schema-evolution discipline that let teams change their contracts without breaking each other.
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Natural-language diagnostics
An LLM-powered triage assistant that turns “why did this fail?” into a lead drawn from real logs and traces, so triage starts with a direction instead of a blank search.
Tools I reach for
- Languages
- Java, Kotlin, Python, SQL
- Frameworks
- Spring Boot, JUnit, pytest
- Cloud & infra
- AWS, GCP, Docker, Kubernetes, CI/CD
- Data & messaging
- Kafka, AWS MSK, PostgreSQL, BigQuery, Avro
- AI & LLM
- LLM application development, AI agents & tool-calling, prompt engineering, LLM evaluation
- Practices
- Microservices, event-driven & distributed systems, low-level design (SOLID), design patterns, TDD, code review, observability
Certification AWS Certified Solutions Architect – Associate 2023–2026
Education B.Tech, Electronics & Communication Engineering, RGUKT 2017–2021 · CGPA 9.43 / 10
Things I’ve written
I write on my blog about AI agents and the backend craft around them.
Ongoing series
cartographer: learn AI agents by building one, in 30 days
A build-along that starts from an empty file and grows one real agent a day at a time, explaining every line on the way.
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Day 00 Learn AI agents by building one, in 30 days
The plan for the series: an empty file, one agent, and thirty days to build it properly.
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Day 00a Six ideas that explain every AI agent, before any code
A no-code primer on the loop, the tools, and the words every agent explainer assumes you know.
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Day 01 Why your first agent should be 40 lines, not a framework
Writing the agent loop by hand first, so a framework never hides what it is doing.
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Day 02 An LLM is a stateless function. Everything else is you
Why the model forgets the last file, and why memory is code you write around it.
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Day 03 Your repo does not fit in the context window. Now what?
What happens when a whole repository is pasted into one prompt, and what to do instead.
Also on the blog
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HTTP just got a new method — meet QUERY
A safe, idempotent method that finally lets a read request carry a body.
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The senior developer mindset: turning abstract ideas into production code
The skill that has compounded most in my career: taking a vague, half-formed idea and making it real.
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RestTemplate vs RestClient vs WebClient
Sorting out Spring’s three HTTP clients, and when to reach for each.
Let’s talk
I’m always happy to talk backend systems, reliability, or a hard problem you’re stuck on. LinkedIn is the surest way to reach me.