Available for opportunities

Aditya
Bharde

> Backend Software Engineer

Building scalable distributed systems, event-driven architectures, and high-performance backend platforms using Java, Spring Boot, Kafka, Kubernetes, PostgreSQL, and cloud-native technologies.

View Projects Resume GitHub
Java
Spring Boot
Kafka
PostgreSQL
Docker
Kubernetes
Redis
System Design
distributed_system.3d
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System Overview

Engineering Identity

Backend-first. Systems-aware. Infrastructure-oriented.

5+
Production Systems
3
Distributed Platforms
10+
Backend Services
Engineering Principles
01Design for failure — every component fails eventually
02Async-first architecture over synchronous coupling
03Observability is not optional in distributed systems
04Schema design determines system longevity
05Event-driven > request-driven for scalable backends
Currently Building
Distributed Trading Platform

Event-driven order matching at scale

AI Vision Search Engine

pgvector + ResNet50 semantic retrieval

Event-Driven Backend Infra

Kafka-based async microservices

Architecture Focus
Event SourcingCQRSSaga PatternCircuit BreakerOutbox PatternCAP TheoremConsensusSharding
Engineering Stack

Technical Capabilities

Every layer of the backend stack — from protocol design to container orchestration.

backend.sh
Backend Engineering
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Java
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Spring Boot
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FastAPI
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REST APIs
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Microservices
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JPA / Hibernate
distributed.sh
Distributed Systems
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Apache Kafka
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Event-Driven Arch
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Message Queues
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CQRS / Event Sourcing
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Saga Pattern
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Circuit Breaker
databases.sh
Databases
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PostgreSQL
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MySQL
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pgvector
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Redis
ai.sh
AI / ML Infrastructure
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ResNet50
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Vector Embeddings
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Semantic Search
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Cosine Similarity
devops.sh
DevOps & Cloud
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Docker
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Kubernetes
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GCP
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GitHub Actions
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CI/CD
cs.sh
Core CS
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DSA
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DBMS
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Operating Systems
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System Design
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OOP