Rahul Kumar

Backend Engineer

Hyderabad, India 2+ yrs exp 85 · Excellent

About

Backend Engineer with 2+ years of experience building scalable APIs, microservices, and data-intensive systems. Core expertise in Python and FastAPI, with strong proficiency in Java and Node.js. Deeply skilled in SQL — experienced in complex query optimization and database design across PostgreSQL, MySQL, and BigQuery. Built event-driven frameworks and automation workflows that reduced manual effort by 80% and improved data accuracy from 88% to 98% for platforms serving 350K+ users.

Skills & Expertise (34)

REST APIs Intermediate

6.5/10

Years Exp

Google Cloud Platform Intermediate

6.5/10

Years Exp

Python Intermediate

6.5/10

Years Exp

MongoDb Intermediate

6.0/10

Years Exp

API Design Intermediate

6.0/10

Years Exp

Distributed Systems Intermediate

6.0/10

Years Exp

Event-Driven Architecture Intermediate

6.0/10

Years Exp

Docker Intermediate

6.0/10

Years Exp

Database Optimization Intermediate

6.0/10

Years Exp

SQL Intermediate

6.0/10

Years Exp

Authentication Intermediate

6.0/10

Years Exp

Data Validation Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

Microservices Intermediate

6.0/10

Years Exp

JavaScript Intermediate

5.5/10

Years Exp

Postgresql Intermediate

5.5/10

Years Exp

MySql Intermediate

5.5/10

Years Exp

JWT Intermediate

5.5/10

Years Exp

FastAPI Intermediate

5.5/10

Years Exp

Google Cloud Functions Intermediate

5.5/10

Years Exp

Google Cloud Run Intermediate

5.5/10

Years Exp

Caching Intermediate

5.0/10

Years Exp

Flask Intermediate

5.0/10

Years Exp

Postman Intermediate

5.0/10

Years Exp

React Intermediate

5.0/10

Years Exp

Redis Intermediate

4.5/10

Years Exp

Typescript Intermediate

4.5/10

Years Exp

Java Intermediate

4.5/10

Years Exp

Next.js Intermediate

4.5/10

Years Exp

Firebase Auth Intermediate

4.5/10

Years Exp

Jenkins Intermediate

4.5/10

Years Exp

JUnit Intermediate

4.0/10

Years Exp

AWS S3 Intermediate

4.0/10

Years Exp

Sub

Work Experience

Junior Support Engineer

GoApptiv Private Limited

Jul 2024 - Present

Designed and developed scalable full-stack microservices using NestJS, MongoDB, and GCP within a distributed systems architecture, collaborating with cross-functional teams to deliver high-performance features for a healthcare platform serving 350K+ users. Engineered an event-driven data synchronization framework using Google Pub/Sub to propagate customer merge events across three platforms, performing advanced debugging and technical troubleshooting to resolve sync failures and ensure cross-platform data consistency. Independently built a customer deduplication framework using Python, SQL, and database management techniques with mobile, GST, and DL validations, reducing duplicate accounts by 5-6% and preventing revenue leakage from duplicate incentives. Automated doctor verification workflows using Python and AI models via n8n, reducing manual verification effort by 80% and decreasing onboarding turnaround from 2-3 business days to 2-3 hours. Designed and developed an Invoice Management System with multi-stage document processing and third-party API integrations, ensuring reliable data processing and maintaining high code quality standards across the platform. Participated in code reviews for microservices development, ensuring adherence to clean code practices, security standards, and architectural best practices across the team.

Software Engineer Intern

GoApptiv Private Limited

Dec 2023 - Jun 2024

Automated onboarding of Medical Representatives and Business Managers using Python scripts, eliminating 100% manual intervention in onboarding and user validation workflows. Engineered a training compliance system using Google Cloud Functions, MySQL, and scheduled jobs to track training completion and automatically provision user credentials. Applied advanced problem-solving techniques to diagnose complex data discrepancies and architected a robust database-management synchronization framework using Python, SQL, and BigQuery, successfully improving system-wide data synchronization accuracy from 88% to 98%. Enhanced backend performance in Channelitix through query optimization and application improvements, reducing API response times by 20-30%.