Senior PHP Laravel Full-Stack Developer

Sign in Senior PHP Laravel Full-Stack Developer Location: India Salary: 800000 Posted: July 12, 2026 Contact this candidate Resume: Kolkata, West Bengal, India +91-987******* *****.******.***@*****.*** https://www.linkedin.com/in/lipan-biswas https://github.com/lipan07/lipannbiswas FULL STACK DEVELOPER (NODE.JS / PHP / REACT) LIPAN BISWAS PROFESSIONAL SUMMARY Full Stack Developer with 8 years of experience building scalable web platforms, REST APIs, and marketplace applications across PHP (Laravel, CodeIgniter), Node.js, and React ecosystems. Proven track record delivering end-to-end features — from database architecture to third-party API integrations (payments, maps, social platforms) — for marketplaces, booking systems WORK EXPERIENCE Missing Link 2018-2019 PHP DEVELOPER SKILLS MATRIX Languages: JavaScript, TypeScript, PHP, Python, C++ Backend: Node.js, Express, Laravel, CodeIgniter Frontend: React.js, React Native, Vue.js Databases: MySQL, MongoDB Cloud & DevOps: AWS (S3, EC2), RESTful API design AI & LLM: Laravel AI, LLM APIs, AI Chatbot Development Tools: Git, GitHub, Bitbucket, Jira, Azure DevOps Payments & 3rd-Party: Stripe, Cardstream, Instamojo, Paypal, Google Maps API, Instagram/Facebook/LinkedIn APIs Webgen Technologies Pvt. Ltd. 2019-2022 PHP DEVELOPER Capital Numbers Infotech Limited 2022-Present Software Engineer (Back-end) PROFESSIONAL EXPERIENCE Capital Numbers Infotech Limited Software Engineer (Back-end) 2022 – Present (Node.js / React.js, Laravel) Payment Gateway System: Engineered a secure, high-throughput financial Payment Gateway Module utilizing Node.js, Laravel, React, and Python to ensure real-time transaction tracking, secure billing storage, and automated status notifications. Pioneered a centralized Domain Management System in Node.js, building optimized database schemas and automated background worker cron jobs to process timely expiration alert pipelines. Local Marketplace App: Developed and optimized RESTful APIs using Laravel to power a high-volume React Native local marketplace application, ensuring scalable performance and efficient data processing. Implemented real-time buyer-seller chat, location-based product discovery using geospatial queries, and secure authentication to deliver a seamless marketplace experience. Webgen Technologies Pvt. Ltd. PHP Developer 2019 – 2022 (Node.js / React.js, Laravel) Taxi booking Project: Architected and Scaled a real-time smart ride-hailing application powered by a Node.js/Laravel engine, integrating multi-point Google Maps routing and AWS S3 storage to handle high concurrency. Social Media Marketing Platform: Led Backend Development for a high-traffic Social Media Marketing Automation Platform utilizing CodeIgniter, integrating Meta (Facebook/Instagram) and LinkedIn enterprise APIs to orchestrate user activity tracking and telemetry. Dairy Farm Project: Built and Structured an intricate, social-driven B2B Dairy Farm Marketplace application featuring instant chat workflows, peer-to-peer animal listing schemas, and notification subsystems in Laravel and Node.js. Refactored Legacy Database Models, improving query execution speeds on large relational tables and preventing production race conditions during high-volume marketplace updates. Designed and Deployed an automated subscription-based payment engine, implementing plan management workflows and clean user authentication mechanics. AI-HR Search & Web Scraping Tool: Engineered high-velocity job scraping spiders that compile listings from multi-source arrays into indexed database architectures, rendering seamless data presentations onto an elegant user interface. Cryptocurrency Buyer & Holder Scraping & Marketing Engine: Designed targeted data mining pipelines to aggregate and analyze crypto holder metrics, implementing custom UI/UX updates to improve overall tool accessibility and data presentation. Tow-IT Application: Designed and Managed Backend Systems for the Tow-IT application (iOS), seamlessly integrating Stripe for both one-time payments and subscription models while optimizing database records for rapid data retrieval. AI-Powered Aviation Chat Assistant: Developed an AI-powered chatbot for the aviation industry. Configured domain-specific system instructions to provide accurate responses to aviation-related queries. Implemented context-aware conversational AI to assist users with aviation information and support. AI-Powered E-commerce Chat Assistant: Developed an AI-powered chatbot for the e- commerce domain. Designed custom system instructions to answer product, order, and e-commerce-related queries accurately. Implemented context-aware conversations with reusable prompt architecture to deliver a consistent user experience. AI-Powered Payment Gateway Chat Assistant: Developed an AI-powered chatbot for a payment gateway platform. Configured domain-specific system instructions to answer queries related to payment processing, transactions, refunds, settlements, onboarding, and API integration. Implemented context-aware conversational AI to provide accurate and relevant responses for merchants and users. Designed reusable prompt architecture to deliver consistent, domain-specific assistance while improving the overall support experience. EDUCATION Bachelor of Computer Application (BCA) – IGNOU CERTIFICATIONS MVT PHP Architecture Mastery – IPEG Solutions (Freshers India) Financial Accounting System Specialist – Computer Training Institute CONTINUOUS PROFESSIONAL DEVELOPMENT Advanced Python Applications Mastery – Udemy Certification (2025) React & React Native Core Architecture Specialist – Udemy Certification (2024) Enterprise Vue.js & Node.js Application Structures – Udemy Certification (2023) Missing Link PHP Developer 2018 – 2019 (PHP, LARAVEL, JAVASCRIPT) Driving School Course Application: Developed and Maintained modular backend features for a robust Driving School Course Booking and Reservation application using CodeIgniter and Node.js. ERP System: Automated Billing Pipelines and integrated notification queues to handle invoice logging, user lifecycle messaging, and future course allocations months in advance. 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