Senior Software Engineer
About
Senior Software Engineer and Technical Lead specializing in cloud-native, distributed systems using Java, Spring Boot, AWS, Kubernetes, Kafka, PostgreSQL, and Redis. I build high-throughput, event-driven platforms supporting 10K+ RPS and 99.9% availability, and have led modernization of monoliths to scalable microservices, improved API performance 75%+ through JVM tuning and Redis caching, and designed production AI applications using Spring AI, RAG, and OpenAI with strong focus on reliability, data consistency, and performance engineering.
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)
- Architected cloud-native microservices and distributed platforms using Java 21, Spring Boot, AWS EKS, Kubernetes, and Apache Kafka
- Built Enterprise IoT Kafka Gateway for real-time telemetry ingestion and asynchronous processing
- Developed production AI capabilities using Spring AI and OpenAI RAG workflows, reducing database load by 60% while achieving sub-150ms API latency
- Optimized secure cloud platforms: caching improvements 85ms → 2ms, payment integrations, and production reliability enhancements
- Selected as paid Subject Matter Expert providing expertise across Java, Spring Boot, Python, SQL, distributed systems, and cloud-native architecture
- Evaluated enterprise software workflows including microservices, Kafka, PostgreSQL, Redis, AWS, Kubernetes, Terraform, and CI/CD
- Applied expertise in AI engineering: RAG, LLM workflows, MLOps, and production AI application patterns
- Built event-driven microservices for legal intelligence and mortgage platforms using Java 21, Spring Boot, and Apache Kafka
- Designed scalable data ingestion pipelines supporting 10K+ RPS and asynchronous processing workflows
- Optimized high-volume backend data systems using PostgreSQL, Redis, and OpenSearch, achieving sub-150ms query performance
- Improved API performance by 75% (600ms → 150ms p99) through JVM tuning, Redis caching, and AWS optimizations while maintaining 99.9% availability
- Modernized legacy SOAP-based insurance systems into REST-based Spring Boot microservices deployed on GCP and AWS EKS
- Built document processing services using Java, Spring Boot, PostgreSQL, Redis, and Elasticsearch
- Reduced API p99 latency from ~600ms to ~150ms through SQL optimization, JVM tuning, Redis caching, Kubernetes, and Terraform
- Architected Java/Spring Boot services and REST APIs for cloud-based SaaS applications with multi-tenant PostgreSQL and Redis
- Developed event-driven data processing pipelines for XML/VAST metadata ingestion
- Implemented Docker containerization and AWS CI/CD automation, reducing deployment time by 70%
- Led national health system development supporting 10M+ citizens across federal and regional health offices
- Built RESTful services integrated with DHIS2 and designed distributed ETL pipelines for HIV, TB, and maternal health data
- Improved platform reliability by 90% through SOA migration and architecture standardization, reducing reporting time by 80%
- Built distributed backend systems for national technology transfer and grant funding platforms supporting 15+ government agencies
- Automated manual workflows and improved cross-agency integration, increasing operational efficiency by 70%
- Developed distributed fleet operations platform using Java, Spring Framework, PostgreSQL, and Linux
- Built TCP/IP telemetry gateway using Apache MINA with event-driven backend services and JMS/ActiveMQ
- Designed concurrent Java processing workflows handling 5,000+ telemetry events per hour
Education
M.S. Computer Science — Boston University
B.Sc. Economics — Mekelle University