Java Backend Engineer

Hi, I'm Peter, a software engineer with 5 years of experience designing high-performance backend systems with Java, Spring Boot, and microservices architecture. Passionate about the intersection of artificial intelligence and mental health technology, with a strong focus on innovative, scalable solutions.

Currently pursuing a Master of Information Technology degree in Auckland, New Zealand, to further deepen technical and research capabilities.

Professional Experience

Senior Software Engineer

Majorel | CRM & Business Intelligence

Apr 2022 – Sep 2024

Led backend design and development of distributed microservices-based SaaS applications using Java, Spring Cloud, and RESTful APIs
Delivered real-time data analysis platforms with multi-tenancy support, enabling 20% faster data insights for top-tier international enterprises
Implemented Spring Security OAuth2 for robust authentication and authorization, integrating with Okta/Keycloak for streamlined Single Sign-On
Optimized system performance by 35% using GraalVM native executables and Redis caching
Deployed Docker and Kubernetes for containerization, achieving 45% improved scalability and productivity
Developed efficient Java-based distributed task scheduling frameworks, improving scheduling efficiency by 20%

Software Engineer

Majorel | CRM & Business Intelligence

Dec 2019 – Apr 2022

Modernized legacy business intelligence systems by upgrading Java (v8 to v17) and Spring frameworks
Designed advanced logging and fault alarm systems with email notifications, reducing issue resolution time by 25%
Implemented CI/CD pipelines with Jenkins + GitLab in Linux, reducing deployment time by 65%
Streamlined Ad Hoc Query execution using MyBatis, integrating with Tableau and Alibaba Cloud, cutting query times by 25%
Collaborated in Agile teams to deliver 10+ features on time, conducting code reviews and maintaining technical documentation

Technical Expertise

Backend Development

Java • Spring Boot • Spring Security • Spring Cloud • MyBatis • GraalVM • JUnit

DevOps & Cloud

AWS • Docker • Kubernetes • Jenkins • CI/CD • Nginx • Maven • Git

Databases

MySQL • PostgreSQL • Redis

Collaboration

Mentorship • Cross-functional Communication • Stakeholder Alignment

Personal Projects

In Development

MindFlow AI

Advanced Healthcare Intelligence Platform that unifies multi-modal behavioral and biometric data to extract AI-enabled mental health insights, featuring automated workflow pipelines for data processing and real-time psychological pattern analysis with RAG-powered personalized interventions.

🏥 Domain-Specific AI Solutions:

Mental Health Analysis: Gemini API integration for sentiment analysis, depression/anxiety screening, and therapeutic conversation
Behavioral Pattern Mining: Time-series analysis of user interactions, sleep patterns, and activity data using Apache Spark
Predictive Mental Health: Early warning system for burnout/depression indicators with ML-based intervention recommendations

⚙️ Automated Workflow Pipelines:

Event-Driven Data Processing: Kafka-based ingestion pipelines automatically processing voice notes, biometric data, and journal entries
Intelligent Task Scheduling: Automated Apache Airflow DAGs for daily analytics, weekly reports, and ML model retraining
Real-time Insight Generation: Automated alert system triggering personalized AI recommendations based on behavioral anomalies

🧠 Advanced AI Architecture:

RAG Implementation: Vector database storing personalized mental health research, enabling context-aware therapeutic conversations
Memory Evolution System: Long-term user profile building with progressive insight refinement over months/years
Multi-Modal AI Processing: Voice-to-text analysis, sentiment processing, and biometric correlation using distributed microservices

Java Spring Boot Python Flask Google Gemini Next.js 14 Microservices AI/ML Integration Apache Kafka Apache Airflow Apache Spark Redis RAG + Vector DB Docker + K8s Terraform

Coming Soon Demo Soon