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Working from home
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Working from home
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Achievement: Pull Shark

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Achievement: Pull Shark

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mollanegash/README.md

Molla D. Negash | Backend Engineer

**EconomiCS: The Economics of Computing.

I view backend systems as resource-allocation problems and optimize them for latency, throughput, and cost.**

Proof: https://github.com/mollanegash/high-throughput-text-processor

BSc Economics + MSCS Computer Science → EconomiCS: The Economics of Computing (systems as resource allocation problems)

🚀 Key Projects

High-Throughput Text Processing Engine

1M+ documents processed | 5K RPS | p99 ~120ms | Render $7/mo

Java 21, Spring Boot 3, PostgreSQL, Redis, Docker, Terraform
Code: https://github.com/mollanegash/high-throughput-text-processor

spring-redis-performance

Redis caching optimization: 85ms → 2ms (DB → Redis)

Java 17, Spring Boot 2.6.6, JPA, @Transactional(readOnly=true)
Code: https://github.com/mollanegash/spring-redis-performance

Order Tracking System

REST API + React frontend | Java 22 + Spring Boot 3.4.4 + PostgreSQL
Full CRUD application deployed on Render

Code: https://github.com/mollanegash/ordertrackingsystem

📫 Contact

LinkedIn: https://linkedin.com/in/mollanegash | Email: mdraya3@gmail.com
Austin, TX | Remote

Pinned Loading

  1. high-throughput-text-processor high-throughput-text-processor Public

    Java 21 + Spring Boot 3 backend system for concurrent regulatory text processing | Stateless architecture | H2 database | JMeter load testing | Docker + Terraform | Live on Render

    Java

  2. ordertrackingsystem ordertrackingsystem Public

    Full-stack order management system featuring a Java 22 / Spring Boot 3.4.4 REST API, PostgreSQL persistence, and a responsive React frontend client interface. Fully deployed on Render.

    JavaScript

  3. spring-redis-performance spring-redis-performance Public

    Redis @Cacheable proof: Student GET 85ms DB → 2ms Redis | Spring Boot 2.6.6 + Java 17 + JPA + H2 | CRUD + caching

    Java 1