Full Stack Developer
About Me
I'm Ashwani Kumar, a Full-Stack Developer passionate about building accessible, responsive, and pixel-perfect web applications. I love combining thoughtful design with clean, efficient code to create experiences that are both user-friendly and performant.
I specialize in developing innovative projects such as FileNest, Getaway BnB, Tech Escape Room, and the SIH Personalized Career & Education Advisor. My tech stack includes React, Next.js, Flask, SpringBoot ,Tailwind CSS, , TursoDB, AWS, Azure, and Linux, and I enjoy creating solutions that seamlessly integrate front-end and back-end technologies.
Over the years, I've honed my skills through university projects, hackathons, and personal initiatives, with a focus on DSA, cloud deployment, and building efficient, scalable web applications. My work reflects a balance of design sensibility and robust engineering.
Skills & Tech
Featured Projects
SIH-(One-Stop Personalized Career & Education Advisor)
A Progressive Web App developed for the Smart India Hackathon to guide students in choosing degree courses, career paths, and government colleges based on aptitude and interests.
This Progressive Web App helps students make informed academic decisions by bridging the awareness gap about career opportunities and degree programs. It provides aptitude-based course suggestions, visual career path mapping, nearby government college directories, and personalized timelines for admissions and scholarships. AI-driven recommendations guide students toward suitable courses, colleges, and study materials. Built with React, Firebase, and Tailwind CSS, the app is optimized for offline access and mobile-friendly performance, ensuring accessibility even in low-internet areas.
Key Features:
- •Aptitude & interest-based course suggestions
- •Course-to-career visual mapping with career options
- •Nearby colleges directory with eligibility, cut-offs, and facilities
- •Timeline tracker for admissions, scholarships, and entrance exams
- •Personalized AI-driven recommendations for courses, colleges, and study materials
- •Offline-first functionality for low internet areas (downloadables)
- •Cross platform and responsive UI
Atlas – Hybrid Multimodal RAG (Offline & Online Semantic Retrieval)
Atlas is a hybrid multimodal Retrieval-Augmented Generation (RAG) system that ingests DOCX/PDF, images, audio files, and live microphone input, indexes them into a shared vector space, and answers natural-language queries with grounded, citeable LLM outputs — compatible with both offline and online LLMs.
Atlas is a hybrid multimodal RAG platform that unifies text, image, and audio data into a single semantic retrieval system. It extracts text from documents (PDF, DOCX), performs OCR on images and screenshots, converts recorded audio into text, and even supports real-time microphone transcription. All content is indexed into a shared vector space, enabling cross-modal semantic search. Users can query Atlas naturally in text or voice, and it retrieves relevant snippets from across all modalities. A local or online LLM then generates grounded answers with numbered citations linking directly to original documents, transcript segments, or image sources. With built-in cross-format linking — for example, connecting an audio segment with a paragraph and a screenshot — and the ability to run entirely offline or leverage cloud models, Atlas is designed for secure, air-gapped environments as well as connected deployments.
Key Features:
- •Hybrid LLM support – switch seamlessly between offline local models and online APIs
- •Offline-first ingestion for PDFs, DOCX, images, and audio files
- •Live microphone transcription with real-time speech-to-text and semantic indexing
- •Layout-aware text extraction from documents
- •OCR and embedding generation for screenshots and visual content
- •Unified semantic indexing of all modalities in a shared vector space (FAISS)
- •Natural-language and voice query interface with ranked multimodal results
- •Grounded LLM answers with numbered citations and direct source links
- •Cross-format linking (e.g., transcript segment ↔ document paragraph ↔ screenshot)
- •Citation transparency with expandable metadata and provenance access
- •Optional multimodal query input: file upload, drag-and-drop, or voice query
- •Metadata filtering by type, author, tags, and timestamps
- •Containerized deployment with Docker for reproducibility and portability
FileNest
A lite-weight cloud storage web application for securely uploading, managing, and sharing files across devices.
FileNest allows users to manage their files with ease, supporting folder organization, secure sharing, and quick access from any device. Built with Flask, SQLite3, and Tailwind CSS, it offers a responsive interface and server-side storage management. Features include user authentication, file upload/download, and folder-level permissions for safe collaboration.
Key Features:
- •User authentication and role-based access
- •File upload, download, and folder organization
- •Secure sharing of files and folders
- •Responsive design for desktop and mobile
- •Efficient server-side storage management
Tech Escape Room
A web-based interactive escape room designed for a club event, featuring coding and logic challenges for participants.
Tech Escape Room is a web application created for a club event to engage participants with coding and logic challenges in a fun, gamified environment. Built with Flask, TursoDB, and Jinja2 for the backend and dynamic templates, it uses JavaScript and Tailwind CSS for interactive frontend features. The app tracks progress, manages multiple puzzle levels, and ensures a responsive, browser-friendly experience, making learning and problem-solving entertaining and interactive.
Key Features:
- •Interactive coding and logic challenges
- •Multiple puzzle levels with increasing difficulty
- •Progress tracking and leaderboard management
- •Responsive and mobile-friendly interface
- •Browser-based experience with dynamic content via Jinja2 and JavaScript
Getaway BnB
A vacation rental booking platform inspired by Airbnb, enabling users to discover, book, and manage vacation homes.
Getaway BnB allows users to search and book vacation rentals with filters, booking management, and host dashboards for property owners. Built with React, Node.js, and Firebase, it features a responsive interface, secure authentication, and smooth booking workflows. The platform focuses on usability for both guests and hosts, providing a seamless travel planning experience.
Key Features:
- •Search and filter vacation rentals
- •Booking and reservation management
- •Host dashboard for property management
- •Responsive design for desktop and mobile
- •Secure authentication and user profiles
Thank
You
Let's connect and build something amazing together.