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Neev Lila

B.Tech Information Technology student · Full-stack & Backend Developer

Ahmedabad, Gujarat, India

@neev_lila

0 followers

🎓 B.Tech in Information Technology at JG University

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About

B.Tech Information Technology student with hands-on experience building and deploying full-stack applications and backend systems using Python, JavaScript, and TypeScript. Interested in backend, cloud, and DevOps engineering, with practical exposure to REST APIs, authentication, databases, and cloud deployment platforms.

Education

  • Diploma in Computer Engineering
    Dr. Subhash University
    Computer Engineering · Aug 2022 – Apr 2025
  • B.Tech in Information Technology
    JG University
    Information Technology · Jul 2025

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Cors React Flask Python Recharts Streamlit Networking JavaScript TypeScript OpenAI API Nvidia Api Gemini APIs Tailwind CSS Authentication Cloud Deployment Prompt Engineering Generative AI Tools Backend development Serverless Functions APIs and integrations Full-stack Development Input Validation Security API Integration Understanding

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git n8n Linux GitHub Render SQLite Vercel Netlify Supabase PostgreSQL

Projects

  • Krishi-Mitra – AI Agriculture Platform
    Gemini API, Supabase, PostgreSQL, React

    Built and deployed a full-stack agriculture platform combining AI crop advisory, image-based plant disease detection, live weather insights, and farmer market listings. Implemented authentication, database-backed data management, and multilingual support.

  • AI Sustainability Analyzer
    React, TypeScript, Netlify Functions, NVIDIA NIM

    Built and deployed a full-stack application that analyzes AI token usage, API cost, energy consumption, and estimated carbon footprint. Integrated serverless functions, prompt optimization, and API resilience safeguards.

  • Face Mark – Facial Recognition Attendance & Analytics Platform
    Flask, OpenCV, SQLite, PyInstaller

    Built a full-stack biometric attendance platform using Flask and OpenCV with real-time face detection, LBPH recognition, attendance tracking, analytics, and automated report generation. Designed a modular architecture and implemented duplicate-attendance protection, automated tests, and Windows deployment packaging.

Courses & certifications

  • Cyber Security Job Simulation · Deloitte Forage · 2025
  • Prompt Engineering · Google Cloud Skills Boost · 2025
  • Agentic AI on AWS · Amazon Web Services · 2025

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