I am a dedicated Python & Django Developer with hands-on experience building robust database-driven web applications using REST, CRUD functionality, and admin dashboards. I have a strong foundation in backend logic, debugging, and project management. My journey has led me to work on various projects, honing my skills and understanding of complex system architectures. I enjoy collaborating with teams to create seamless user experiences.

Jiniyas Suthar

I am a dedicated Python & Django Developer with hands-on experience building robust database-driven web applications using REST, CRUD functionality, and admin dashboards. I have a strong foundation in backend logic, debugging, and project management. My journey has led me to work on various projects, honing my skills and understanding of complex system architectures. I enjoy collaborating with teams to create seamless user experiences.

Available to hire

I am a dedicated Python & Django Developer with hands-on experience building robust database-driven web applications using REST, CRUD functionality, and admin dashboards. I have a strong foundation in backend logic, debugging, and project management. My journey has led me to work on various projects, honing my skills and understanding of complex system architectures. I enjoy collaborating with teams to create seamless user experiences.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate

Language

English
Fluent
Hindi
Fluent
Gujarati
Fluent

Work Experience

Add your work experience history here.

Education

Bachelor In Computer Applications at Ganpat University
August 1, 2018 - July 1, 2021
Bachelor of Engineering at Sardar Patel Institute of Technology
January 1, 2018 - January 1, 2022

Qualifications

Course on Computer Concepts (CCC)
January 1, 2023 - February 18, 2026

Industry Experience

Computers & Electronics, Software & Internet
    paper Shakespeare LSTM Text Generator – Character-Level Deep Learning

    Built a character-level LSTM model in Python using TensorFlow/Keras to generate Shakespeare-style text. The project involves preprocessing the Tiny Shakespeare dataset into sequences, vectorizing inputs and outputs, and creating modular functions for flexible text generation. The model architecture includes embedding layers to capture character relationships, stacked LSTM layers with dropout for robust sequence learning, and a dense softmax output layer for character prediction. Implemented temperature-controlled sampling for creative output, checkpointing for efficient training, and role-based modular code to ensure reproducibility. Designed for scalability, human-like text generation, and experimentation with different sequence lengths, temperatures, and model depths.

    paper Shree Kantha 27 Mevada Suthar Samaj – Community Management System

    The Shree Kantha 27 Mevada Suthar Samaj Community Management System is a full-stack web application developed to digitally connect and organise community members through a secure, searchable, and centralised platform.

    The system replaces traditional printed directories with a dynamic online member database, enabling seamless communication, structured data management, and efficient event coordination.

    🏛 Key Features
    For Community Members

    Digital Member Directory – Real-time, searchable member profiles including family details, business information, and location.

    Event Dashboard – Access to upcoming gatherings, meetings, and cultural events.

    Profile Update Requests – Members can request modifications to keep personal and family records accurate.

    Announcement Board – Centralised section for important notices, updates, and community announcements.

    For Administrators

    Member Management System – Add, edit, approve, or remove profiles securely.

    Event Scheduling Tools – Create and manage events with date, venue, and detailed descriptions.

    Secure Role-Based Access – Restricted admin access to protect sensitive community data.

    Centralised Data Control – Single, structured database ensuring data consistency and integrity.

    Technical Implementation

    The platform is built using the Django framework, following a scalable and secure architecture. It utilises Django’s ORM to efficiently manage complex family relationships and structured member data.

    Tech Stack:

    Python (Django)

    MySQL / SQLite

    HTML5

    CSS3

    JavaScript

    Django Admin

    Bootstrap / Tailwind CSS

    Development Highlights

    🗄 Structured Database Design – Designed relational schemas to handle complex family trees and member associations.

    🔐 Secure Backend Architecture – Leveraged built-in security features to safeguard member privacy and prevent unauthorised access.

    💻 User-Centric UI Design – Simple, accessible interface tailored for users across different age groups.

    📈 Scalable System Design – Built to support growing member data and future feature expansion.

    paper QR-Based Smart Bus Ticketing & Transit Management System

    The Smart Bus Pass Management System is a full-stack web application designed to modernize public transportation ticketing through secure, digital solutions. By replacing traditional paper tickets with QR-code-based digital passes, the system enhances efficiency, transparency, and user convenience for commuters, conductors, and transit administrators.

    The platform features a secure wallet-based payment system, real-time route filtering, and a mobile-friendly conductor verification portal to enable seamless, cashless, and paperless travel management.

    🚍 Key Features
    For Commuters

    Smart Booking Engine – Search buses between cities with real-time route and schedule filtering.

    Digital Wallet & Payments – Recharge wallet and purchase tickets instantly using Razorpay integration.

    QR Code Tickets – Secure QR-based boarding passes generated instantly after purchase.

    Ticket Management – View active tickets, payment history, and download tickets as PPT files for offline access.

    Secure Authentication – Email/Password login and Google OAuth integration.

    For Conductors & Staff

    Mobile Verification Portal – Lightweight dashboard optimized for handheld devices.

    Real-Time QR Scanning – Validate tickets via QR scan or manual ticket ID entry.

    Instant Validation System – Automatically checks ticket authenticity, expiration status, and usage history.

    For Administrators

    Route & City Management – Full CRUD operations for managing routes, stops, schedules, and fare structures.

    User & Revenue Analytics Dashboard – Monitor registrations, active conductors, and revenue insights.

    Staff Management System – Secure onboarding and management of conductor accounts.

    Technical Implementation

    The system is built using a scalable Model-View-Template (MVT) architecture powered by Django, ensuring modularity, maintainability, and clean separation of concerns.

    Tech Stack:

    Python (Django)

    SQLite

    HTML5 & CSS3

    JavaScript

    Razorpay API

    Google OAuth

    QR Code Generation

    Python-PPTX

    Development Highlights

    🔐 Role-Based Access Control (RBAC) – Strict separation between User, Conductor, and Admin privileges.

    ⏳ Automated Ticket Expiry Logic – Tickets automatically expire 10 minutes after departure to prevent misuse.

    📱 Responsive UI/UX Design – Optimised for both desktop and mobile platforms.

    📊 Data-Driven Architecture – Structured database schema ensuring scalable growth.

Hire a Web Developer

We have the best web developer experts on Twine. Hire a web developer today.