Innovative Software Engineer with extensive experience in full-stack development, cloud solutions, and leading cross-functional projects. Adept in leveraging advanced skills in React, Node.js, and API development to build scalable, user-centric applications. Eager to contribute expertise in software architecture and DevOps to drive success in a dynamic engineering team.

Christopher Kush

Innovative Software Engineer with extensive experience in full-stack development, cloud solutions, and leading cross-functional projects. Adept in leveraging advanced skills in React, Node.js, and API development to build scalable, user-centric applications. Eager to contribute expertise in software architecture and DevOps to drive success in a dynamic engineering team.

Available to hire

Innovative Software Engineer with extensive experience in full-stack
development, cloud solutions, and leading cross-functional projects. Adept in leveraging advanced skills in React, Node.js, and API development to build scalable, user-centric applications. Eager to contribute expertise in software architecture and DevOps
to drive success in a dynamic engineering team.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Full Stack Developer at WeblineGlobal Inc.
October 16, 2016 - September 15, 2020
- Designed and developed custom web applications for small and mid sized clients, covering both frontend and backend functionality. - Built responsive user interfaces using modern JavaScript frameworks and ensured cross browser compatibility. - Developed backend services and APIs, handling business logic, authentication and database integration. - Collaborated directly with clients and internal stakeholders to gather requirements and translate them into technical solutions. - Maintained and enhanced existing applications, improving performance, stability and code quality. - Participated in code reviews, debugging and deployment support.
Tech Leader at Tech Expert Guys
September 21, 2020 - November 2, 2025
- Led end to end development of custom web and software solutions for client projects from requirements gathering to deployment. - Provided technical leadership to a small engineering team, setting coding standards, reviewing pull requests and mentoring developers. - Designed system architecture and selected appropriate tech stacks to meet performance, scalability and maintainability goals. - Collaborated closely with designers, project managers and clients to translate business requirements into technical solutions. - Oversaw project timelines and technical deliverables, ensuring on time and high quality releases. - Implemented best practices for code quality, security and deployment workflows. - Troubleshot and resolved complex technical issues across frontend, backend, and integrations.

Education

Bachelor of Computer Science at California State University
August 1, 2011 - January 31, 2015
Department of Electrical & Computer Engineering
Master of Computer Science at Cal Poly Pomona
September 1, 2015 - March 31, 2016
Department of Electrical & Computer Engineering

Qualifications

DP-203: Azure Data Engineer Associate
February 16, 2016 - April 16, 2018
PL-300: Power BI Data Analyst Associate
April 17, 2018 - May 5, 2020
DP-900: Azure Data Fundamentals
May 18, 2020 - March 25, 2022
AI-900: Azure AI Fundamentals
April 29, 2022 - February 14, 2024
AZ-900: Azure Cloud Fundamentals
March 6, 2024 - December 26, 2025

Industry Experience

Computers & Electronics, Professional Services, Non-Profit Organization, Financial Services, Software & Internet
    paper Multi-Tenant AI Support Automation Platform

    I designed and developed a scalable, multi-tenant AI-powered support automation platform that enables businesses to streamline customer service operations through intelligent automation and centralized management.

    The platform supports multiple organizations within a single infrastructure, ensuring tenant-level data isolation, configurable workflows, and secure access control. It integrates Large Language Models (LLMs) to automate ticket classification, contextual response generation, knowledge retrieval and conversation handling across web and messaging channels.

    Key Features:

    • Multi tenant architecture with role-based access control
    • AI driven ticket triaging and automated response generation
    • Knowledge base embedding and semantic search
    • Real time analytics and conversation tracking
    • Webhook/API integrations with third-party CRM and communication tools
    • Scalable cloud deployment with CI/CD automation
    paper Multi-Tenant AI Support Automation Platform

    Built a scalable SaaS platform that automates customer support using LLM-powered AI agents. The system integrates with CRM tools and messaging APIs, handling real-time conversations, intent classification, and auto-escalation. Reduced support workload by 60% and improved response time to under 2 seconds.

    Key Roles:

    • Architected multi-tenant SaaS system (Next.js + FastAPI)
    • Designed LLM-based intent routing & RAG pipeline
    • Implemented Redis caching + background task queue
    • Deployed via Docker + CI/CD pipeline
    • Optimized latency for high concurrency usage