Open to Java backend / full-stack SDE roles · 2026

Ankit Kumar · MCA @ NIT Jamshedpur · LeetCode 1739 (top 11%)

I build distributed Java backends that stay boringly reliable at scale.

Spring Cloud · Kubernetes (GKE) · Postgres + pgvector · Kafka · Spring AI. I design 6-service control planes, self-correcting agentic AI loops with RAG, pgvector embeddings and pre-warmed sandbox pools — cutting cold starts from 15s → <1.5s and keeping p99 flat under production load.

Spring Cloud services

~90%

cold-start cut · GKE

1150+

DSA · LC 1739

Grab resume Open project lab ankitkr5609@gmail.com

MCA · NIT JSR

Ankit Kumar

backend / full-stack

LeetCode

1739rating

top 11.04% · 448 solved

GeeksforGeeks

1262score

340 solved · 201-day POTD streak

Total DSA

1150+solved

LC · GFG · CC · CF

6 MICROSERVICES ✱ GKE

Java 21✦

Spring Boot✦

Kubernetes✦

PostgreSQL✦

Kafka✦

Redis✦

Docker✦

OpenAI✦

Stripe✦

TypeScript✦

React✦

Java 21✦

Spring Boot✦

Kubernetes✦

PostgreSQL✦

Kafka✦

Redis✦

Docker✦

OpenAI✦

Stripe✦

TypeScript✦

React✦

@ankit5609

v3.2.0

// about_me

Backend engineering with product-level motion.

MCA student at NIT Jamshedpur focused on backend systems and cloud infrastructure. I've shipped two production platforms: a Kubernetes-native collaborative IDE and a Spring Boot hotel booking system with payments, semantic search, and a review Q&A chatbot.

I love solving architectural challenges — measured latency, idempotent event flows, sensible failure modes, and clean domain boundaries.

Education

MCA · NIT Jamshedpur

Location

India · Remote-friendly

ankitkr5609@gmail.com

Currently

Building AI-native dev tools

daily driver

// skills & signals

Brand-logo stack, moving like a system map.

Every logo is a tool I've shipped to production. Every stat is a link — click through to the profile.

Backend

Java 21

Spring Boot 3

Spring Security

Hibernate / JPA

JWT

Data & Messaging

PostgreSQL

pgvector

Redis

Kafka

MinIO

Cloud & DevOps

Kubernetes

GKE

Docker · Jib

GitHub Actions

NGINX

AI & Integrations

OpenAI · Spring AI

Stripe

Cloudinary

Frontend

React

TypeScript

Tailwind CSS

// dsa profile

1150+ problems solved · across the internet

Contest rating

1739

LeetCode

▸Top 11% globally
▸448+ problems solved
▸170-day max streak

Coding Score

1258

GeeksforGeeks

▸339 problems solved
▸Institute Rank 355 · NIT JSR
▸187-day longest streak

Rating

1140

CodeChef

▸146 problems solved
▸Long / cook-off regular

Rating

879

Codeforces

▸225 problems solved
▸Contest participant

live project lab

Case studies stay on this screen.

Tap a project tile: the details collapse open, diagrams animate inline, and every diagram can expand into a full-screen replay.

A cloud-native, agentic collaborative coding workspace — 6-microservice Spring Cloud control plane split across network-isolated Kubernetes namespaces, with a self-correcting Spring AI tool-calling loop that reads files, runs preview builds and resolves compiler exceptions from pgvector past-fix memory.

90%

sandbox spin-up latency cut · 15s → <1.5s

Spring Cloud services · network-isolated K8s namespaces

LRU pool

pre-warmed runner pods · Redis-cached routes

keyless

GCP Workload Identity Federation · Jib · GitHub Actions

6 Spring Cloud microservices on GKE

Kafka + Redis driven collaborative workflows

Pre-warmed sandbox pods reduce preview cold start ~90%

Spring AI + pgvector RAG loop for self-healing code fixes

Java 21Spring CloudSpring AIKubernetes (GKE)Fabric8 K8s ClientKafkaRedisPostgreSQL + pgvectorMinIOJibGitHub ActionsStripe

Full case study Live demo Source

animated architecture board

Distributed CodeForge

Live demo

Distributed CodeForge · Microservices architecture

// codeforge-core (Spring plane) is network-isolated from codeforge-previews (sandbox plane). Kafka drives async sagas; Redis fronts subdomain routing.

Preview subdomain flow · pre-warm + WS reverse proxy

// Wildcard *.previews.* hits the subdomain proxy, which resolves user→pod via Redis and reverse-proxies WS into the pre-warmed pool.

Agentic self-healing loop · Spring AI tool calling

// Intelligence Service calls file/build tools, catches compile errors, retrieves similar past fixes from pgvector, and re-applies a patch.

// let's build

Got a system that shouldn't wake you at 3am?

Backend / full-stack roles, freelance builds, and collaborations — especially anything Java, cloud-native, or AI-adjacent.

ankitkr5609@gmail.com

or find me on