Fullstack Developer · Bangalore, India
Disha Naik
Building products end-to-end, from database to UI.
Full-stack developer with end-to-end experience building and deploying production web applications — React.js/Next.js frontends, Python/Node.js backends, REST APIs, and PostgreSQL/MongoDB databases. I've shipped real-time fintech dashboards, headless CMS platforms, and full ML-integrated products, with a strong eye for polished, user-centric interfaces.
About
Who I am
I'm a 2026 BE graduate (CGPA 8.3) from APS College of Engineering, Bangalore. I build full-stack products end-to-end — from React.js/Next.js interfaces to Python/Node.js backends, REST APIs, and PostgreSQL/MongoDB data layers — with a strong eye for clean, pixel-perfect UI.
I've worked across domains from fintech real-time dashboards to creative agency websites, always with a focus on clean code, reusable components, and reliable production systems.
Education
Certifications
Skills
Experience
- Built full-stack content system using Next.js (App Router) on the frontend and WordPress as a headless CMS backend — fetching, normalizing, and rendering structured data from the REST API with ACF custom fields and Gutenberg blocks
- Developed reusable React component architecture (self-contained defaultData + prop-override pattern) and implemented server-side dynamic routing for SEO-optimized, programmatically generated pages
- Debugged end-to-end data-shape issues: ACF field-key mismatches, falsy empty-array edge cases, and a server module/client component code-split conflict causing build failures — restoring CI pipeline health
- Delivered polished UI with GSAP animations, responsive layouts, and Tailwind CSS across all components with full cross-browser compatibility
- Built and maintained Python/SQLAlchemy REST APIs processing real-time financial data at 99.5% uptime, with backend validation, error handling, and automated test coverage for concurrent user load
- Designed a full-stack real-time dashboard — backend service integrating external financial APIs for live market metrics, surfaced through responsive Next.js frontend pages with async data fetching
- Processed and analyzed financial datasets with Pandas and Scikit-learn, integrating ML model outputs into the API response layer for predictive analytics features
- Integrated third-party financial services APIs end-to-end: secure data pipelines, JWT auth, and frontend display of live market data
Projects
An AI-powered customer support agent designed to simulate SpotifyCares, providing conversational assistance for common user issues such as account access, subscriptions, payments, and music-related support. Built with a responsive chat interface and intelligent response handling to create a realistic customer support experience.
A React + Vite recreation of a premium chess interface, built to showcase advanced frontend craft: scroll-driven parallax, spring-smoothed mouse-tilt, cursor spotlight glow, and magnetic-pull interactions powered by Framer Motion.
A full-stack MERN application for managing laptop components, building custom laptop configurations, automatically calculating prices, and preserving historical quotations even when component prices are updated.
A full LMS platform in the spirit of Udemy — course catalog, structured lessons, and progress tracking, built end-to-end in React with Context API for global state management across the learning experience.
A fullstack application that parses uploaded resumes and returns structured feedback — pairing a Python/backend analysis service with a clean React UI, using AI in a targeted, minimal way rather than as the whole product.
A unique fullstack idea: an AI-backed personal assistant concept that ties together everyday planning and decision support behind a proper backend and API layer — built to demonstrate original product thinking, not just implementation.
Python CLI trading tool with live LTP (Last Traded Price) fetching, threaded execution, and OCO (One-Cancels-the-Other) order logic — built for real financial workflows.
College Projects
Full-stack ML application with a Python backend pipeline for text/image ingestion, preprocessing, and deep learning inference. Detects harmful content across multiple languages (Hindi, English, Kannada, Tamil) in real time, with a monitoring service that streams social media events and a centralized logging module for audit trails, surfaced through a live monitoring dashboard.
Full-stack chatbot handling admission-related queries, with a Node.js backend managing conversation state and intent routing, RESTful APIs exposing the chatbot to frontend channels, and a MongoDB persistence layer storing queries and conversation history for analytics.
Certifications
Contact
Let's work together
Open to Fullstack Developer roles, Software Developer roles, and collaborative projects. Feel free to reach out!