Hello, I'm
Niraj Malokar

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Skills

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React

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Next.Js

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Redux

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Wordpress

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SKLearn

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Pandas

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Numpy

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Jupyter

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Docker

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GitHub

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AWS

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Spring

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MongoDB

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SQL

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Express

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GSAP

About Me

I’m an enthusiastic Computer Science student and lifelong learner with a passion for exploring every corner of technology. From web development and application design to data science, AI, and machine learning, I enjoy building interactive, responsive, and intelligent applications that bring ideas to life.

My experience spans both full-stack web development and data-driven projects, working with tools and frameworks like Next.js, React, Redux, Node.js, Spring Boot, and Express on the development side, and NumPy, Pandas, scikit-learn, and Matplotlib on the data side. I thrive on learning new technologies, experimenting with different problem-solving approaches, and collaborating with others to create impactful solutions.

Always curious and adaptable, I’m excited to keep pushing my boundaries, whether that means building scalable web apps, training machine learning models, or developing innovative applications at the intersection of multiple fields.

  • 4th Year Computer Science Student
  • Carleton Unversity, Ottawa
  • GPA: 10.95/12.00

My Projects

  • Spring Patient Management System

    Built a microservices-based healthcare application using Spring Boot, Spring Cloud, and Spring Security, with gRPC, Kafka, and JWT authentication. Containerized services with Docker & Docker Compose, and provisioned AWS infrastructure (ECS, RDS, MSK, VPC, ALB) via CDK & LocalStack, ensuring scalability, security, and reproducibility.

  • Dev Overflow Fullstack Website

    Responsive full stack stack overflow clone implementing auth, reputation, recommendation algorithm, global and local search. Technologies used: NextJS, Tailwind, MongoDB, Typescript

  • Photo Culling App

    A Python tool that automatically evaluates and removes low-quality images from any folder, supporting all common formats. I developed and tuned a Gradient Boosting model using hand-crafted features (sharpness, brightness, color stats, entropy, edge density) for accurate image quality ranking. Includes a simple PyQt GUI and is packaged as a standalone desktop app with PyInstaller.

  • IPhone 15 Landing page

    Responsive front-end application using React and tailwind for design and GSAP for animations.

  • Modern Landing Page

    Responsive modern landing page created using NextJS, Tailwind and GSAP.

  • Superstore data analysis

    Data analysis and visualization of a superstore dataset using pandas, numpy, matplotlib, and seaborn deployed using streamlit

Let's Connect

I'm currently looking for new opportunities, my inbox is always open. Whether you have a question or just want to say hi, I'll try my best to get back to you!

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