Rachit Singh

Software Engineer

Kanpur, Uttar Pradesh 1+ yrs exp 82 · Excellent

About

Software Engineer with 1+ year of experience developing scalable backend applications, REST APIs, and distributed services using Java, Spring Boot, Redis, Kafka, Cassandra, and MySQL. Experienced in event-driven architecture, API design, database optimization, caching, and production debugging across product and enterprise applications.

Skills & Expertise (26)

RESTful APIs Advanced

6.5/10

Years Exp

Git Advanced

6.5/10

Years Exp

Redis Advanced

6.5/10

Years Exp

Apache Cassandra Intermediate

5.5/10

Years Exp

Data Structures & Algorithms Intermediate

5.5/10

Years Exp

Docker Intermediate

5.5/10

Years Exp

Jenkins Intermediate

5.5/10

Years Exp

Apache Maven Intermediate

5.5/10

Years Exp

Unit Testing Intermediate

5.5/10

Years Exp

Postman Intermediate

5.5/10

Years Exp

Mockito Intermediate

5.5/10

Years Exp

JUnit Intermediate

5.5/10

Years Exp

MySql Intermediate

5.5/10

Years Exp

Apache Kafka Intermediate

5.5/10

Years Exp

Object-Oriented Programming Intermediate

5.5/10

Years Exp

DBMS Intermediate

5.5/10

Years Exp

SDLC Intermediate

5.5/10

Years Exp

Spring Boot Intermediate

5.5/10

Years Exp

Agile Intermediate

5.5/10

Years Exp

Java Intermediate

5.5/10

Years Exp

System Design Fundamentals Intermediate

4.5/10

Years Exp

JPA Intermediate

4.5/10

Years Exp

Hibernate Intermediate

4.5/10

Years Exp

Spring MVC Intermediate

4.5/10

Years Exp

Python Intermediate

4.5/10

Years Exp

J2EE Beginner

3.5/10

Years Exp

Work Experience

Software Engineer

MedPlus Health Services Limited

May 2025 - Jun 2026

Developed backend services for LMS and Smart Device Management, implementing Redis-based module hierarchy resolution, event-driven smartwatch data ingestion, and patient health report workflows. Implemented 9+ RESTful APIs for smartwatch synchronization and patient report sharing. Supported batch processing of 500 records with validation, error handling, and audit workflows. Implemented an event-driven health metric pipeline using Kafka and Cassandra for asynchronous ingestion and time-series storage of smartwatch data. Processed 5,000+ daily smartwatch health data points, applying metric-specific aggregation (steps, sleep, SpO2, heart rate) and transformation for mobile app health dashboards. Integrated Redis-based caching for frequently accessed data, reducing redundant database queries by 30% and improving API response performance. Optimized enterprise search functionality using Elasticsearch indexing pipelines, resolving indexing inconsistencies and improving result completeness by 25%. Optimized top-selling product retrieval using batched Redis processing (50 items per batch) with fault tolerant execution, reducing load times by 30%. Executed unit, system, and integration testing across backend workflows, ensuring data consistency and reliable communication across 4 integrated microservices.