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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 | Senior Software Engineer | Technical Lead

Building high-performance, AI-enabled backend systems and cloud-native platforms using Java, Spring Boot, Kafka, AWS, Kubernetes, and distributed-system architectures.

Engineering Philosophy — EconomiCS

I view backend systems as resource-allocation problems, optimizing for latency, throughput, scalability, reliability, 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 regulatory document processing using Spring AI and LLM-powered contextual analysis.

  • Stack: Java 21, Spring Boot 3, Spring AI, OpenAI, PostgreSQL, AWS, Docker, Terraform
  • Focus: High-throughput processing, RAG, semantic search, scalable backend architecture
  • Repository: llm-regulatory-intelligence-engine

🛡 Spring AI Threat Platform

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

  • Stack: Java 21, Spring Boot, Spring AI, Apache Kafka
  • Focus: AI processing, event-driven architecture, distributed backend services
  • Repository: spring-ai-threat-platform

🌐 Enterprise IoT Kafka Gateway

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

  • Stack: Java 21, Spring Boot, Kafka, Docker, Terraform
  • Focus: Real-time telemetry, asynchronous processing, critical alerts, event-driven architecture
  • Repository: enterprise-iot-kafka-gateway

⚡ Spring Redis Performance

Backend performance engineering project demonstrating Redis caching optimization.

  • Result: API response improved from 85 ms → 2 ms
  • Focus: Cache-Aside patterns, API performance, concurrency, observability
  • Repository: spring-redis-performance

📦 Order Tracking System

Full-stack order management application demonstrating production-oriented backend and frontend development.

🛠 Tech Stack

Backend & AI: Java 17–22, Spring Boot 3, Spring AI, Node.js, TypeScript, Express.js, REST APIs, WebSocket

Data & Messaging: PostgreSQL, Redis, Apache Kafka, Elasticsearch, Apache Spark, Azure Databricks

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. 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

  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

  4. 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

  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