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Ramchandra MulikRM
Open to opportunities

Ramchandra Mulik

@ramchandramulik

Backend-focused software engineer building scalable APIs and reliable production pipelines.

India
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What I'm looking for

I’m looking for a Software Engineering role where I can build and scale backend services and APIs, own reliability with observability and testing, and improve performance through thoughtful architecture—while growing with a team that values engineering rigor.

I’m a Software Engineer and Competitive Programmer who’s worked on backend systems end-to-end through internships. At CRED, I architected a scheduled notification pipeline using CRED’s Invoker service, S3, and SQS to dispatch pre-trip communications 24 hours before check-in, handling edge cases like booking amendments and cancellations.

Across projects, I’ve focused on reliability, testing, and performance. I redesigned ingestion using Redis (idempotency), SQS (orchestration), and DynamoDB (validation), reducing failure rate from ~40% to ~2%, and I built production REST APIs/webhooks for hotel cancellation and room modification notifications with JUnit unit/integration tests. I also brought UI impact by migrating ASP.NET dashboards to React 18, improving dashboard loading time from 40s+ to 5s with stale-while-revalidate and rate limiting, and I validate quality with tools like Datadog and Grafana.

Experience

Work history, roles, and key accomplishments

LE
Current

Backend Engineering Intern

LeetCode

Jan 2026 - Present (5 months)

Architected a scheduled notification pipeline using CRED’s Invoker service with S3 and SQS to dispatch pre-trip communications 24 hours before check-in. Redesigned hotel onboarding ingestion with Redis idempotency, SQS orchestration, and DynamoDB validation to reduce failure rate from ~40% to ~2%, and built REST APIs/webhooks with JUnit tests to validate contract correctness.

CO

SDE Intern (UI)

ConnectWise

Jun 2025 - Jul 2025 (1 month)

Migrated legacy ASP.NET dashboards to React 18 using microfrontend architecture and deployed to production. Built GraphQL middleware over 3 microservices and reduced dashboard loading time from 40s+ to 5s using stale-while-revalidate caching, server-side filtering, and rate limiting while delivering reusable MUI components.

Education

Degrees, certifications, and relevant coursework

Shah & Anchor Kutchhi Engineering College logoSC

Shah & Anchor Kutchhi Engineering College

Bachelor of Technology, Artificial Intelligence & Data Science

2022 - 2026

Grade: CGPI 9.04/10

Pursuing a B.Tech in Artificial Intelligence & Data Science at Shah & Anchor Kutchhi Engineering College from 2022 to 2026. Earned a CGPI of 9.04/10.

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