About Me

Hi, I’m Aviral Jaiswal, a Computer Science undergraduate at SRM Institute of Science and Technology with a strong interest in full-stack development, problem solving, and machine learning. I enjoy building applications that are both practical and user-friendly, blending technical depth with creativity.

I’ve gained hands-on experience through internships and projects, such as developing full-stack applications with Django and React, designing scalable e-commerce platforms, and exploring machine learning models for creative applications. My skills span across C++, Python, SQL, JavaScript, and frameworks like Next.js, Django, and MongoDB.

Beyond academics, I’ve solved 500+ coding problems on platforms like LeetCode and CodeChef, participated in Amazon’s ML Summer School, and earned certifications in cloud computing and cybersecurity.

When I’m not coding, you’ll probably find me on the football field or at a chessboard—two places where strategy, focus, and quick thinking matter just as much as in tech.

  • HTML / CSS / JavaScript / React.js / Django
    Web Devlopment
  • C / C++ / Python / SQL
    Programming Languages
  • Android Studio, Git, Atlassian Confluence Space, VS Code, Anaconda (Spyder).
    Developer Tools
  • DSA, DBMS, OOPS, Computer Networks, Operating System, Machine Learning.
    Course Fundamentals
  • ◦ NPTEL Certification - Cloud Computing
  • ◦ Volunteered as Web Development Instructor and Counsellor - @Vidya and Child
  • ◦ Software Development & Full-Stak Web Applications - @SMARTUPX
  • ◦ India_Internship_GEHU_CYBERSECURITY_ESSENTIALS1 - Cisco
  • ◦ 500+ Coding Questions across platforms like LeetCode, GFG and Coding Ninjas
  • 2022-2026
    B.TECH in Computer Science - 9.15 CGPA
    SRM Institute of Science and Technology Kattankulathur
  • 2022
    12th C.B.S.E - 90.8%
    Salwan Public School
  • 2020
    10th C.B.S.E - 87%
    Amity International School

Work Experience

Software Engineer Intern - SMARTUPX TECHNOLOGIES

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Web-dev Instructor and Counsellor - Vidya & Child

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Mentee (Apprenticeship) - Amazon ML
Summer School

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Projects

Student-Well: A Comparative Study for the Analysis of Mental Health of Undergraduate Students

Iot Botnet Classification and Detection

Developed and compared multiple Machine Learning models to detect malicious and benign traffic in various IOT devices like webcam etc.

Credit Card Fraud Detection

Developed a Machine Learning model for testing whether the fraud has occurred or not using Logistic Regression achieving a accuracy rate of 94%.

Gym Portal Landing Page

Designed and developed an Frontend Website of a Gym Portal using HTML, CSS, and JavaScript.

Mingle Mate App

Create a user-friendly mental health quiz app using Kotlin to assess and promote mental well-being through engaging questions and insightful feedback.

Analog Clock

Build an elegant analog clock using HTML, CSS, and JavaScript for a visually appealing representation of time.

Coding Profiles

Leetcode

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HackerRank

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Coding Ninjas

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Contact Me

avijai2004@gmail.com

+91 8076504764

Resume