Molla Negash
Molla Negash
Patent Examiner

Systems & Enterprise Architect

About

Patent Examiner and Systems Architect with an M.S. in Computer Science from Boston University and a B.S. in Economics & Management from Mekelle University. Background in distributed backend systems, event-driven telemetry pipelines, and cloud infrastructure using Java, Spring Boot, Apache Kafka, and Kubernetes.

Systems

Azure RAG Platform - Production AI System

Production RAG system using Azure OpenAI + AI Search. Secure document chat with citations. Built with TypeScript, Fastify, Bicep IaC, and Container Apps. Handles enterprise document workloads with sub-150ms inference.

Enterprise IoT Kafka Gateway - 10K+ RPS

Enterprise IoT telemetry gateway built with Spring Boot, Apache Kafka, Docker, Terraform. Processes real-time sensor data using Kafka producers/consumers, detects critical alerts at 10K+ RPS with 99.9% availability.

Spring AI Threat Detection Platform

Spring Boot microservice for real-time threat detection. Java 21, Spring AI, Kafka, Docker. Demonstrates production AI integration with event-driven architecture and sub-150ms threat scoring.

Redis Performance Proof - 85ms → 2ms

Redis @Cacheable implementation proving latency reduction. Spring Boot 2.6.6 + Java 17 + JPA + H2. Student GET endpoint: 85ms DB → 2ms Redis. Demonstrates JVM tuning + caching expertise.

Experience (Click to Expand)

USPTO 2026 - Present
Patent Examiner

Education

M.S. in Computer Science — Boston University

B.S. in Economics & Management — Mekelle University

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