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

Nevil Vataliya

Backend • Security • ML

Website GitHub LinkedIn Contact

Projects

Top 6%

TryHackMe

7.63

CGPA

Nevil Vataliya

Overview

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

Explore my work Get in touch

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.

Crime OS (E-Rakshak)

Aug 2026

Lead Backend & AI Architect

A next-generation AI-powered investigation OS for Law Enforcement, featuring LangGraph multi-agent orchestration, multimodal intake, cross-case entity linkage, and automated statutory subpoena pipelines.

FastAPIReact 18TypeScriptLangGraph+5

Code

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

Code Demo

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

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

Code Demo

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

Code Demo

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

Code Demo

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

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

Live

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

Live

work

Cybersecurity Researcher

TryHackMe • Ongoing

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

Profile

Tech stack

Tools I use to build and ship.

Programming Languages

TTypeScriptPythonCSQLBashHTML5C++JavaScript (ES6+)

Backend & Databases

SSupabasePPostgreSQLMongoDB (Mongoose)REST APIsExpress.jsMySQLFirebaseNode.js

AI, ML & Vision

LLangGraphOpenCVPandasScikit-LearnLLightGBM

Frontend & App

Next.jsTailwind CSSReact.jsReact Native

Systems, Infra & Tools

QQdrantCloudflareNginxMinIORabbitMQVercelGit/GitHubLinuxPostmanDockerRender

Core Concepts

DSData StructuresMLMachine LearningOOOPSWeb Security (OWASP)

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.

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.

project

2026

Architected Crime OS (E-Rakshak)

Engineered a next-gen, multi-agent investigation operating system for law enforcement utilizing LangGraph, FastAPI, and a multimodal AI intake pipeline.

How I work

What I focus on when building software.

Strengths

Backend architecture & API design
Database modeling & deployment workflows
Security mindset (OWASP)

Currently learning

Sharper UI engineering in Next.js + Tailwind
Agentic AI workflows & LLM orchestration (LangGraph)

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.