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 & 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?

  • design icon

    Programming Languages

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

  • frontend icon

    Frontend / Web Frameworks

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

  • backend icon

    Backend / API Development

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

  • cloud devops icon

    Cloud & DevOps

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

  • database icon

    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. Building three scalable full-stack platforms serving over 90,000 users, allowing orchestration of AI features using Large Language Models (LLMs) via LangChain, with support for audio, and text inputs.

      2. Engineered a reusable React.js and TypeScript component library adopted across multiple applications, cutting UI build time by 40% and ensuring design consistency across devices.

      3. Created Java Spring Boot microservices with PostgreSQL and GraphQL APIs, enhancing backend efficiency and improving SQL query performance by 40%

      4. Collaborated with a team of 8 people for a $2M U.S. Government project (Link), and built custom functions for required functionality and integrated third-party databases using REST APIs for data-acquisition.

      5. Automated CI/CD workflows to build Docker images, deploy serverless APIs on AWS Lambda, and manage workloads on Amazon ECS, reducing deployment time by 40% and improving cloud-scale operational efficiency.

    Emotionall

    1. Software Engineer

      Sep 2025 – Present | Miami, Florida

      1. Engineered 45+ REST API endpoints for application’s backend in Python Django and tested with Postman, improving performance and reducing API latency by 30% through optimized query design.

      2. Configured CI/CD (Github Actions) pipelines to build Docker images, deploy applications on AWS EC2, and manage workloads on Amazon ECS, reducing deployment time by 40% enabling the small early age startup team to scale faster.

    Autonomous Systems Lab (ASU)

    1. AI Software Developer

      Dec 2023 – Feb 2024 | Tempe, AZ

      1. Fine-tuned a disease-specific LLM (Medgemma 4B IT) using Pytorch, Pinecone, and QLoRA for binary and multi-class detection of diabetes, improving classification precision from 71% to 87% through multi-domain generalization.

      2. Built an internal monitoring dashboard (Grafana, Prometheus) to track GPU/CPU usage, error logs, and memory, enabling smooth research experiments on 10k+ diabetic retinopathy images for Mayo Clinic.

    Cutso Foods LLP

    1. Software Engineer

      May 2022 – May 2023 | Bangalore, IND

      1. Revamped the core application 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.

      2. Resolved UI defects, optimized API communication flows, and managed version control with Git, accelerating release cycles and enabling faster cross-team feature delivery across core storefront pages.

    2. Software Engineer Intern

      Sep 2021 – May 2022 | Bangalore, IND

      1. Built responsive UI components using HTML, CSS, and JavaScript, enhancing navigation and user experience across product pages and improving performance on low-bandwidth devices.

      2. Fixed UI bugs, validated API integrations, and used Git for version control, collaborating with senior developers to support smooth feature delivery and faster iteration cycles.

    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

  • design icon

    Autogrow AI

    - Demonstrated an autonomous AI engine for early age startups using Python, OpenAI API, Google Trends to auto-discover trends, generate empathetic content, and post across platforms, reducing manual marketing effort by 95%.

    View Project
  • design icon

    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
  • design icon

    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
  • portfolio icon

    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
  • design icon

    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%.

  • design icon

    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%.

    • Daniel lewis

    Daniel lewis

    Contact

    Contact Form