About Me

I’m an AI-augmented full-stack software engineer focused on building scalable, production-ready web applications. I combine deep engineering experience with AI-powered workflows to move from idea to deployment faster—without sacrificing reliability.

On the frontend, I craft fast, accessible interfaces using modern tools and patterns. On the backend, I design clean APIs, robust data models, and secure infrastructure that can grow with real-world usage.

I treat AI as a partner in my workflow: it helps with exploration, scaffolding, and acceleration, while I stay responsible for architecture, code quality, and long-term maintainability. If you’re looking for someone who can own the full stack and deliver real, measurable value, let’s build something great together.

What I'm Doing

  • AI-Augmented Product Development

    Designing and building end-to-end web applications using AI-powered workflows to move from idea to production faster, while keeping architecture clean and maintainable.

  • Full-Stack Web & API Engineering

    Implementing performant frontends and robust backends with TypeScript, React, Node.js, and Postgres—covering everything from UI to APIs, testing, and deployments.

  • System Design & Scalability

    Designing architectures that scale: modular services, efficient data models, and performance tuning so your applications stay fast and reliable as traffic grows.

  • AI Integration & Developer Workflows

    Integrating LLMs and AI tools into products and engineering workflows to improve developer productivity, code quality, and user experience without sacrificing control.

Skills

  • LLMs
  • React
  • Python
  • Node.js
  • PostgreSQL
  • Figma

Resume

Experience

  1. Senior Software Engineer · EGS Enggist & Grandjean Software

    Aug 2019 — Present
    • Invented a new software project called The Calcmenu Cloud that addressed the outdated main product which resulted in 100% retention of EGS Clients.
    • Subject Matter Expert on these technologies: ReactJS, Angular 12, ASP.NET, NodeJS, and SQL Server.
    • Project Lead and Manager for The Calcmenu Cloud which consists of 10 members with tasks focusing on documentation, design, coding, testing, deployment, and maintenance.
    • Utilize agile methodologies to manage project timelines and deliverables.
    • Ensure high-quality deliverables by following principles of software engineering best practices.
    • Contribute to the development and maintenance of internal software tools and libraries.
    • Collaborate with internal client user support and marketing to understand the feedback and ensure the needs of the clients and the company are met.
    • Acting as an escalation point for key clients, stakeholders, and internal teams for intricate technical queries and providing timely updates.
    • Mentor new hires within our team and show industry standard best practices and impart insights on my professional etiquette and pass along personal documentation.
  2. Freelance Full Stack Web Developer · EGS Enggist & Grandjean Software

    Jan 2019 — Aug 2019
    • Utilized Angular, ASP.NET, and Amazon AWS to develop and improve various software systems for the company.
    • Implemented new features and functionality to enhance the user experience and increase efficiency.
    • Collaborated with cross-functional teams to identify and resolve technical issues.
    • Contributed to the optimization of existing technologies, resulting in improved performance and scalability.
    • Speech Recognition for Hands-Free experience - Implemented new features in an existing system using Angular, ASP.NET and AWS, resulting in a 50% increase in user satisfaction.
  3. Intern Software Engineer · EGS Enggist & Grandjean Software

    Aug 2018 — Dec 2018
    • Utilized Python, OpenCV, AWS, Tensorflow, and AngularJS.
    • Contributed to the development of projects related to image processing and machine learning.
    • Utilized AWS services such as S3 and EC2 to manage and deploy the systems.
    • Collaborated with other departments to understand the requirements and solve problems.
    • Face recognition Attendance System - Utilized OpenCV and Tensorflow to detect and recognize faces in images, and integrated them with AngularJS to create a web-based application for attendance tracking.

Certificates & Credentials

  1. Machine Learning Foundations: Linear Algebra

    LinkedIn Learning • Sep 2022

    Comprehensive course covering the mathematical foundations of machine learning, including vectors, matrices, and linear transformations.

    View Certificate
  2. Docker for Developers

    LinkedIn Learning • Sep 2022

    Containerization best practices, Docker Compose, and deployment strategies for modern application development.

    View Certificate
  3. React: Server Side Rendering

    LinkedIn Learning • 2022

    Server-side rendering techniques with React for improved performance and SEO optimization.

    View Certificate

Education

  1. Bachelor of Computer Science

    2018 — 2022
    • Graduated with honors; coursework in data structures, algorithms, and software engineering.

Portfolio

  • Backend Service

    Real-time Analytics API

    High-performance API handling 10K+ concurrent connections for real-time streaming.

    Node.jsWebSocketRedisTimescaleDB
  • AI/ML Application

    Face Recognition Attendance

    Automated attendance tracking using facial recognition with 98%+ accuracy.

    PythonTensorFlowOpenCVAWS
  • AI Integration

    Voice-Controlled Interface

    Hands-free experience for enterprise software with 50% satisfaction increase.

    AngularWeb Speech APIASP.NETAWS
  • Full-Stack App

    E-Commerce Platform

    Online store with inventory management, payments, and admin dashboard.

    Next.jsStripePrismaPostgreSQL

Contact

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