About me

Welcome to my homepage! I'm Ayush Kumar, a passionate software engineer and proud recipient of a 100% scholarship at Arizona State University, where I’m pursuing my Master's in Computer Engineering. With a strong academic foundation and hands-on experience, I’m driven to deliver innovative, high-performance solutions.

I specialize in:

  • - Full-Stack Development: Crafting dynamic applications with frameworks like React.js, Node.js, and Next.js.
  • - Cloud and Microservices: Building robust, scalable architectures using AWS, Docker, and Kubernetes.
  • - Data Pipelines and Analytics: Designing ETL pipelines and leveraging tools like Python, Apache Kafka, and TensorFlow for insightful analytics and AI-powered integrations.
  • - Enhanced User Experiences: Optimizing performance, SEO, and server-side rendering for seamless and engaging user interfaces.

Some of my achievements include developing Connectify, a real-time chat application handling 10,000+ concurrent users, and Virtuous Vehicles, an AI-powered vehicle behavior mapping system that secured $300,000 in federal funding.

Explore my portfolio to see more of my work, and let’s connect to discuss how I can help create impactful and innovative software solutions!

What Am I Skilled At?

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    Programming Languages

    Python, C++, C#, JavaScript, TypeScript, SQL, Bash

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    Frontend / Web Frameworks

    ReactJS, Vue.js, Angular, HTML5, CSS3, Tailwind, Bootstrap, jQuery

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    Backend / API Development

    REST APIs, .NET Core, Node.js, Express, FastAPI, Django, MVC architecture, Azure Functions

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    Cloud & DevOps

    Azure DevOps, Docker, GitHub Actions, Git, Jira, Agile (Scrum, Kanban), CI/CD pipelines

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    Databases / Data Modeling

    SQL Server, PostgreSQL, MySQL, MongoDB, ORM tools (EF Core, Prisma, SQLAlchemy)

    • Experience

    Arizona State University

    1. Software Engineer

      May 2024 – Present | Tempe, AZ

      1. Developed 80+ reusable components for company’s web applications using React.js and Next.js, translated from Figma designs resulting in a scalable flow for 90k+ users/month across multiple devices and landing pages.

      2. Architected RESTful microservices using Spring Boot, Java, PostgreSQL, which delivered academic monthly records with SSR integration and SEO enhancement, increasing organic student acquisition by 4000.

      3. Led a team of 8 people as the Lead Developer on a $2M U.S. Government project, collaborating with top university professors as stakeholders; built custom PHP functions for required functionality and integrated third-party databases using REST APIs for data-acquisition.

      4. Utilized AWS S3 for static asset storage and CloudFront for global content delivery, resulting in a 45% decrease in user bounce rate and improved scalability for the application by nearly 70%.

    Autonomous Systems Lab (ASU)

    1. AI Software Developer

      Dec 2023 – Feb 2024 | Tempe, AZ

      1. Spearheaded the design of high-throughput ETL pipelines to process 10GB+ of daily healthcare telemetry data, slashing load latency by 60% and enabling near real-time machine learning workflows critical for patient monitoring and diagnostics.

      2. Fine-tuned large language models (LLMs) on U.S. healthcare system logs, tailoring them to domain-specific patterns; boosted classification precision from 71% to 87%, enabling proactive detection of infrastructure anomalies and reducing system downtime.

      3. Developed end-to-end annotation and observability tools with FastAPI and React, transforming a manual model deployment process into a streamlined pipeline; cut platform rollout cycles for LLMs from 7 days to 4, accelerating experimentation and delivery.

    Gasify Middle East

    1. Software Engineer Intern

      May 2023 – July 2023 | Remote, UAE

      1. Engineered a robust backend inventory sync pipeline for 2,000+ industrial SKUs (valves, flanges, reducers) using custom PHP modules; exposed data via REST and GraphQL APIs to power real-time dashboards & user catalogs.

      2. Revamped the frontend with a decoupled JavaScript architecture and dynamic filtering features, reducing load time by 1.8s and boosting Lighthouse mobile score from 62 to 91, enhancing user experience on low-bandwidth devices.

      3. Containerized backend services with Docker and set up a Jenkins-driven CI/CD pipeline, enabling automated testing, schema linting, and branch-level preview deployments that accelerated release cycles and reduced regressions.

    Education

    1. Arizona State University

      Master of Science (MS) Computer Engineering (Computer Systems) 2023 — 2025 GPA: 3.9/4.0

      Coursework- Data Structures and Algorithms, Artificial Intelligence, Data Visualization, Blockchain


    2. Dr. APJ Abdul Kalam Technical University

      Bachelor of Technology (B. Tech) Electronics and Communication Engineering 2019 — 2023 GPA: 3.52/4.0

      (1st Rank Holder in the batch of 1100 students)

      Coursework- Data Structures, Object Oriented Programming, Computer Networks


    3. Central Board of Secondary Education

      Secondary School Certificate (SSC) Science with Mathematics March 2018

    Projects

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    AI-Powered Portfolio Website

    - Built an interactive portfolio with a RAG-based chatbot (Next.js, TypeScript, Tailwind).
    - Enabled visitors to query resume, education, and project details dynamically.
    - Designed to provide a personalized, AI-driven browsing experience.

    View Project
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    RepGenie

    - Engineered the backend of an AI-powered fitness coaching platform using Java and PostgreSQL.
    - Integrated OpenAI APIs for personalized training plans tailored to individual user needs.
    - Deployed on AWS cloud-hosted services, achieving scalability and reliability for 1,000+ active users.
    - Leveraged TypeScript for API design and enhanced type safety, ensuring fewer runtime errors.

    View Project
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    Connectify

    - Built a real-time chat application with Next.js, WebSockets, and ConvexDB, scaling to handle 10,000+ concurrent users.
    - Developed scalable REST APIs using Node.js and Express.js, ensuring 99.99% uptime for messaging services.
    - Integrated user authentication with Clerk, JWT, and OAuth2, improving onboarding efficiency by 30%.
    - Implemented React Dropzone and AWS S3 for file uploads, reducing storage errors by 20%.
    - Integrated OpenAI GPT-4 with TypeScript for LLM-powered messaging, reducing response time by 40%.
    - Designed WebSocket-based message queues and user presence tracking in Python backend, supporting 500+ concurrent users with low-latency delivery.

    View Project
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    Virtuous Vehicles (Mapping Human Driving Behaviour in Autonomous Cars using A.I.)

    - Engineered AI-enabled vehicle behavior mapping with Python, CARLA Simulator, & OpenCV, boosting accuracy by 35%.
    - Developed a React.js dashboard with Flask APIs, cutting analysis time by 40% and boosting performance by 50%.
    - Automated deployment and scaling with Docker and Kubernetes, ensuring fault tolerance and 99.9% uptime.
    - Designed a backend system using PostgreSQL and TensorFlow for data analysis, securing $300,000 in federal funding.
    - Integrated TensorFlow for object detection, improving precision and safety metrics by 30%.

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    COVID Management System (Vaccination Data Management made easy)

    - Designed a COVID-19 data platform using React.js, Node.js, and Bootstrap, efficiently serving 10,000+ users.
    - Created RESTful APIs with Express.js, halving scheduling time and improving response times by 40%.
    - Ensured data integrity and scalability using MongoDB and Redis, maintaining 99.9% uptime.
    - Automated CI/CD workflows with Docker and GitHub Actions, cutting deployment time by 25%.
    - Enhanced system observability with ELK Stack, reducing debugging and resolution times by 30%.

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