Available for opportunities

Ashish
Kumar

Backend Engineer & Systems Architect

Building scalable microservices and event-driven systems with Java, Spring Boot, Kafka, and Redis. Passionate about performance, distributed architecture, and writing code that actually ships.

750+
DSA Problems
1600+
LeetCode Rating
3+
Production Projects
Scroll to explore
Technical Arsenal

What I Build With

Backend
Java Spring Boot Node.js Express.js REST APIs Microservices
Messaging & Cache
Apache Kafka Redis Event-Driven Cache-Aside TTL + Invalidation
🔐
Security
OAuth2 JWT RBAC Auth Server
🗄️
Databases
MySQL MongoDB JPA Aggregation Pipelines
☁️
Cloud & DevOps
AWS EC2 AWS RDS Docker Git Maven
🖥️
Frontend
React.js JavaScript HTML5 Tailwind CSS
Featured Work

Projects

Project 01 · Sep 2025
Event-Driven
E-commerce Platform
Microservices Architecture

A production-grade e-commerce system built on microservices — Auth, Product, Order, Payment, and Notification services — each independently deployable and scalable.

  • Centralized OAuth2 Authorization Server issuing JWTs with RBAC enforcement across all services
  • Apache Kafka event-driven order/payment workflows, eliminating synchronous blocking bottlenecks
  • Redis cache-aside strategy slashed response times by 50–60% under concurrent load on read-heavy APIs
  • Production deployment on AWS EC2 + RDS with environment-based configs and centralized logging
Java Spring Boot Kafka Redis OAuth2 MySQL AWS EC2 AWS RDS
Project 02 · Dec 2025
AI SmartSearch
System
Redis + AI Integration

A smart search backend that combines Redis caching intelligence with Google Gemini's AI — delivering fast, context-aware results while minimizing API costs.

  • TTL-based Redis caching reduces Google Gemini API calls significantly, improving latency
  • Redis Sorted Sets (ZSET) power real-time trending query tracking by access frequency
  • Atomic Redis ops deliver live metrics: request counts, cache hit/miss ratios, per-query stats
  • Async MySQL + JPA persistence for search history without blocking API response time
Spring Boot Redis Google Gemini MySQL JPA
Project 03 · Jul 2025
Vidtube
YouTube Clone · Scalable Backend

A full-featured video-sharing platform with user auth, media uploads, likes, comments, and subscriptions — built for scale with MongoDB aggregation at its core.

  • JWT-based auth and authorization securing all user data and access control flows
  • Multer middleware for reliable media file upload handling and storage
  • MongoDB aggregation pipelines cut video retrieval query latency by 30%
Node.js Express.js MongoDB JWT Multer
Recognition

Achievements & Certifications

🏆
LeetCode Elite
Solved 750+ problems with a peak contest rating of 1600+, demonstrating strong algorithmic and problem-solving skills.
🐍
PCAP — Python Certified
Certified Associate in Python Programming with Distinction from the Python Institute.
HackerRank 5-Star
Gold Badge in both Java and Problem Solving on HackerRank, reflecting consistency and depth.
📜
AMCAT Recommendation
Awarded Certificate of Recommendation by AMCAT for excellence in software engineering aptitude assessments.
☁️
IBM Cloud Certified
Certified in IBM Cloud Fundamentals covering core cloud concepts, services, and architecture.
🎓
B.Tech — CSE
Bachelor of Technology in Computer Science at ABES Engineering College, Ghaziabad (2022–2026).

Let's Work
Together

I'm actively looking for backend engineering roles where I can contribute to high-performance, distributed systems. If that sounds like your team — let's connect.

ashish@portfolio ~
$ whoami
ashish_kumar

$ cat profile.json
{
  "role": "Backend Engineer",
  "focus": "Microservices",
  "leetcode": "750+ | 1600+",
  "open_to": "Full-time roles",
  "location": "India"
}

$ status
✓ Available for opportunities

$