Neev Savla

CYBER SECURITY ENGINEERING STUDENT | FULL-STACK DEVELOPER
Mumbai, India | 9011713499 | neev.savla24@sakec.ac.in | github.com/neev21-alt | linkedin.com/in/neev-savla

Summary

Cyber Security Engineering student (CGPA 9.2/10) at SAKEC Mumbai focused on cybersecurity and software development. Built full-stack web applications, AI-powered civic tools, and an ML-based deepfake detection pipeline. Seeking internships in software engineering, full-stack development, or cybersecurity engineering.

Professional Experience

Frontend Developer Intern, CodeSprint Tech
Sept 2025 – Oct 2025
  • Built responsive web interfaces for 4+ client projects using HTML, CSS, and JS, resolving cross-device rendering issues.
  • Developed a shared UI component library that reduced redundant CSS and cut development build times across projects.
  • Delivered clean, maintainable code within Agile sprint cycles using structured Git branching and PR workflows.

Projects

PhishPulse — Cybersecurity Simulation Platform
Full-Stack
React, TypeScript, Python FastAPI, TailwindCSS, Framer Motion, Zustand
  • Built full-stack cybersecurity awareness platform with React/TypeScript frontend and Python FastAPI backend.
  • Designed interactive simulation interface with 20+ connected nodes to visualize phishing attack scenarios.
  • Integrated gamified mission progression system for structured cybersecurity training workflows.
Election Guide India — Civic Tech Portal
Deployed · Vercel
election-guide-india.vercel.app
React, Gemini 2.5 Flash, Web Speech API, Web Audio API, HTML5 Canvas
  • Built and deployed multilingual AI election assistant using Gemini 2.5 Flash (English/Hindi) on Vercel.
  • Implemented interactive EVM & VVPAT simulator with Web Audio API beeps and 7-second paper trail.
  • Integrated voice input/output via Web Speech API — submitted to Google Build with AI Hackathon (Apr 2026).
Student Management System — Secure CRUD App
Java/MySQL
Java, MySQL, Swing, JDBC
  • Built role-based authentication using JDBC preventing unauthorized access to student and staff institutional records.
  • Mitigated SQL injection risk using parameterized JDBC queries across all DB operations.
  • Enforced server-side input validation for reliable record integrity and maintained normalized database schemas.
Deepfake Detection Pipeline
Python/ML
Python, ML Data Pipelines, Classification Models
  • Built Python pipeline to clean, crop, and extract features from video datasets for deepfake model training.
  • Trained classification models to identify manipulated media, improving preprocessing efficiency for large datasets.
  • Evaluated classification performance on manipulated media datasets — submitted to Intel AI Festival 2025.

Technical Skills

Languages: JS, TS, Python, Java, SQL
Frontend: React, Vite, TailwindCSS, Framer Motion
Backend: Node.js, Express, FastAPI, JWT
Databases: MySQL, Schema Design
APIs: Gemini API, Web Speech API, Web Audio API
Tools: Git, GitHub, Vercel, Zustand

Education

B.Tech — Cyber Security Engineering | Shah & Anchor Kutchhi Eng. College, Mumbai
2024 – 2028 (Exp.)
CGPA: 9.2 / 10

Additional Information

Certifications: CCNA: Intro to Networks (2025), CyberPeace First Responders (2025), OS Basics (Cisco).
Awards: C Programming (92.5%) & Python Certification (90%) — IIT Bombay.
Languages: English, Hindi, Marathi, Gujarati.