Available to hire
Full Stack Developer with 5+ years of experience building scalable financial-services and industrial software using Java, Spring Boot, React.js, JavaScript, Python, REST APIs, and cloud-native technologies across Manulife and Honeywell. Strong in distributed systems and reliable, high-performance application development.
Brings a practical, product-focused approach to solving complex engineering problems, strengthening system reliability and observability, and delivering secure, scalable solutions. Experienced with Generative AI, LLMs, and RAG, alongside ML pipelines and MLOps in Azure/AWS/Google Cloud environments.
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Work Experience
Full Stack Developer at Manulife
September 1, 2025 - PresentArchitected full-stack financial-services applications using Java, Spring Boot, React.js, and REST APIs, delivering secure digital experiences with modular backend services and reusable frontend components. Engineered Generative AI capabilities with Python, LLM orchestration, and RAG by connecting enterprise knowledge sources to model services for grounded responses. Integrated LLM-based AI-assisted workflows with human-in-the-loop validation and responsible-AI controls using enterprise APIs. Developed cloud-native application services on Azure using managed components and serverless patterns to improve scalability and reliability. Implemented ML pipelines for feature engineering, model evaluation, and predictive analytics following MLOps practices. Improved CI/CD, automated testing, and observability, reducing MTTR by ~25% and enabling reliable releases.
Software Developer at Honeywell
February 1, 2023 - August 31, 2025Developed cloud-based industrial software using Java, Spring Boot, React.js, and REST APIs, integrating operational data and business workflows for near-real-time visibility in Honeywell Forge-oriented applications. Enhanced distributed services that processed industrial asset and operational data using resilient APIs and asynchronous workflows for scalable ingestion and reliable cloud communication. Optimized cloud-native workflows using Azure services and containerized components to standardize development and deployment. Integrated machine learning and predictive analytics capabilities in Python for anomaly detection, asset monitoring, and operational insights. Contributed to AI-enabled initiatives using Google Cloud and AI-agent capabilities by connecting operational data with intelligent services.
Software Developer at CodeNest Solutions
June 1, 2019 - December 1, 2020Developed responsive business applications using JavaScript, React.js, and Angular with reusable frontend components and REST API integrations. Built backend services with Node.js and Express.js, implementing RESTful APIs, authentication, and server-side business logic while connecting to relational and document databases. Integrated third-party APIs into full-stack solutions to coordinate frontend workflows with backend processing, improving transaction handling and user reliability. Containerized application components using Docker and supported AWS deployment workflows. Improved application performance via API improvements, database query tuning, and frontend rendering enhancements, reducing average response times by ~20%.
Education
Postgraduate Diploma in Computer Systems Technician at Sheridan College
January 1, 2021 - December 1, 2022Qualifications
Industry Experience
Financial Services, Manufacturing, Software & Internet
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Expert
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