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Nevil

nevil.codes

B.Tech CSE • SVNIT, Surat (2023 — 2027)

Nevil Vataliya

Backend • Security • ML

4+

Projects

Top 6%

TryHackMe

7.63

CGPA

Nevil

Nevil Vataliya

Overview

I engineer secure, scalable backend systems using Node.js and Express. Blending full-stack development with a cybersecurity mindset (Top 6% on TryHackMe), I ensure applications are robust, optimized, and 'secure by design' from the first line of code.

GitHub

Recent contributions

@nevilvataliya

Thought Generator

Short notes I try to build by.

Write it so someone else can run it. including future you.

Projects

Selected work and builds.

E-Commerce Review Intelligence

E-Commerce Review Intelligence

April 2026

Team Lead

Developed a dual-pipeline ML system to process 12GB+ of Amazon review data in memory-safe chunks, deploying the models via a Streamlit web application.

PythonLightGBMRandom ForestScikit-Learn+3
CodeDemo
Distributed Video Platform

Distributed Video Platform

March 2026

Team Lead

Built a highly available video platform supporting authenticated VOD uploads, asynchronous HLS transcoding, and live RTMP streaming via an Nginx origin-edge architecture.

Node.jsReactRabbitMQMinIO+4
Code
Title XSpark CRM

Title XSpark CRM

Feb 2026

🏆 HTT Runner-Up

An offline-first, AI-powered lead capture PWA built for low-connectivity investment expos. Secured Runner-Up at Hack The Tank 3.0.

Next.jsReactFastAPISupabase+3
CodeDemo
QNotes — AI Powered Note Taking Platform

QNotes — AI Powered Note Taking Platform

Oct 2025

Solo

Audio/Text/PDF → structured notes + quizzes. Includes public sharing and playlists. Backend built from scratch in Node.js + Express.

Node.jsExpress.jsMongoDBNext.js
CodeDemo
Facial Recognition Attendance System

Facial Recognition Attendance System

Jun 2025

Team Lead

Contactless attendance using Raspberry Pi + HOG face recognition, with Student/Teacher React Native apps and real-time sync.

PythonRaspberry PiReact NativeNode.js+2
Code
Loan Default Prediction System

Loan Default Prediction System

Dec 2026

Solo

ML pipeline on LendingClub to assess credit risk; achieved 68% recall (32% precision) and deployed with Flask.

PythonPandasScikit-LearnFlask+1
CodeDemo

Vision-Guided Autonomous Mobile Robot

Nov 2025

An autonomous navigation system utilizing computer vision for dynamic mapping and the D* Lite algorithm for real-time path planning, driven by a Raspberry Pi and ESP32 architecture.

PythonRaspberry PiESP32OpenCV+4
Code

Library Management System

Nov 2024

C++ console LMS with file-based persistence, RBAC, and advanced OOP (operator overloading, polymorphism).

C++OOPFile Handling
Code

Experience

Roles, leadership, and work I’ve shipped.

leadership

Web Development Team Head

Mindbend (SVNIT TechFest)Nov 2025 — Present

Leading full-stack development of the official TechFest website using Next.js + MongoDB and coordinating delivery for the 2026 event.

Key impact

  • Defined project structure and module ownership for juniors
  • Conducted code reviews and ensured consistent standards
Next.jsMongoDBLeadershipCode Reviews

leadership

Web Development Team Co-Head

Mindbend (SVNIT TechFest)Nov 2024 — May 2025

Integrated an AI chatbot (Flowise) into the official festival website and contributed to frontend work.

Key impact

  • Shipped Flowise-based chatbot integration
  • Improved UX in key pages
Next.jsFlowiseFrontend

work

Cybersecurity Researcher

TryHackMeOngoing

Top 6% globally. Practicing client-side + server-side exploitation and Linux hardening.

Key impact

  • OWASP-focused web exploitation practice
  • Pen-testing methodology and system hardening
Web SecurityLinuxTryHackMe

Tech stack

Tools I use to build and ship.

Programming Languages

JavaScript (ES6+)CSQLPythonBashHTML5C++

Backend & Databases

REST APIsNode.jsExpress.jsMongoDB (Mongoose)MySQLFirebase

AI, ML & Vision

OpenCVPandasScikit-LearnLLightGBM

Frontend & App

React.jsNext.jsReact NativeTailwind CSS

Systems, Infra & Tools

CloudflareNginxMinIORabbitMQGit/GitHubLinuxDockerPostmanVercelRender

Core Concepts

OOOPSWeb Security (OWASP)MLMachine LearningDSData Structures

Quick facts

Focus: Backend systems, security, ML

Deploy: Vercel, Render

TryHackMe: Top 7%

About

A few highlights and milestones.

milestone

2025

TryHackMe — Top 6% globally

Security labs covering web exploitation fundamentals and Linux hardening.

project

2025

Loan Default Predictor — 68% recall

End-to-end ML pipeline on LendingClub data, deployed as a small web app.

milestone

2026

Runner-Up — Hack The Tank 3.0

Secured 2nd place out of 300+ teams building XSpark CRM, an offline-first lead capture PWA for Finideas.

How I work

What I focus on when building software.

Strengths

  • Backend engineering with clean APIs (Node.js/Express)
  • MongoDB + deployment workflows (Vercel/Render/Docker)
  • Security mindset (OWASP)

Currently learning

  • Trees/Graphs in DSA
  • Sharper UI engineering in Next.js + Tailwind
  • Deeper OpenCV + Python

Contact

For roles, freelance work, or collaborations.

Send a message

Share a short note about your project or role. I typically respond within 10 business days.