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Achievement: YOLOAchievement: Pull Shark

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Achievement: YOLOAchievement: Pull Shark

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mollanegash/README.md

Molla Negash | Backend Engineer

Building high-performance, AI-enabled backend systems and cloud-native data platforms using a polyglot approach—leveraging Java 21+ for enterprise-scale transaction processing and Node.js/TypeScript for event-driven orchestration.

Engineering Philosophy — EconomiCS

I view backend systems as resource-allocation problems, optimizing for latency, throughput, scalability, and cost.

B.Sc. Economics + M.S. Computer Science → Applying economic thinking to backend architecture, distributed systems, and performance engineering.

🚀 Key Projects

🧠 LLM Regulatory Intelligence Engine

AI-enabled backend platform for concurrent regulatory document processing using Spring AI and LLM-powered contextual analysis.

🛡 Spring AI Threat Platform

Real-time threat detection platform integrating AI, event-driven architecture, and backend microservices.

🌐 Enterprise IoT Kafka Gateway

Real-time IoT telemetry streaming platform built with Spring Boot, Apache Kafka, Docker, and Terraform.

  • Highlights: Java 21 + Spring Boot, Kafka producer/consumer architecture, event-driven telemetry processing, critical alert detection, H2 persistence, Terraform-based Docker deployment.
  • Repository: enterprise-iot-kafka-gateway

⚡ Spring Redis Performance

Performance engineering example demonstrating Redis caching impact.

  • Highlights: Redis caching optimization, API response improved from 85 ms → 2 ms.
  • Repository: spring-redis-performance

📦 Order Tracking System

Production-ready full-stack order management application.

  • Highlights: Java 22 + Spring Boot 3, React.js frontend, Deployed on Render.
  • Repository: ordertrackingsystem

🛠 Tech Stack

Backend & AI

  • Java 17–22, Node.js, TypeScript, Spring Boot 3, Spring AI, Express.js, WebSocket

Data & Messaging

  • PostgreSQL, Redis, Apache Spark, Azure Databricks, Elasticsearch, Kafka

Cloud & DevOps

  • AWS, GCP, Azure, Kubernetes, Docker, Terraform, CI/CD

Pinned Loading

  1. llm-regulatory-intelligence-engine llm-regulatory-intelligence-engine Public

    Java 21 + Spring Boot 3 backend system for concurrent regulatory text processing with AI-powered regulatory density scoring using LLM-based contextual analysis | Stateless architecture | PostgreSQL…

    Java

  2. spring-ai-threat-platform spring-ai-threat-platform Public

    Spring Boot microservice for real-time threat detection. Java 21, Spring AI, Kafka, Docker.

    Java 1

  3. enterprise-iot-kafka-gateway enterprise-iot-kafka-gateway Public

    Enterprise IoT telemetry gateway built with Spring Boot, Apache Kafka, Docker, Terraform, and H2. Processes real-time sensor data using Kafka producers and consumers, detects critical alerts, and s…

    Java 1

  4. 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

  5. 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.

    Java

  6. azure-rag-platform azure-rag-platform Public

    Production RAG system using Azure OpenAI + AI Search. Secure document chat with citations. Built with TypeScript, Fastify, Bicep IaC, and Container Apps.

    TypeScript 1