Full-Stack Developer passionate about building scalable web applications using React, JavaScript, Node.js, Express, MongoDB, and modern cloud technologies.
Recently built and deployed an "AI-Enhanced Hospital Queue Management System" , featuring real-time queue tracking with Socket.io, JWT-based authentication, role-based access control, ML-powered wait-time prediction using FastAPI, and production deployment on Vercel, Render, and MongoDB Atlas.
Previously developed an "AI-Based Smart Productivity Planner" with intelligent task management, smart scheduling, productivity analytics, and modern responsive UI/UX design.
Currently working on MarkiAI (AI Digital Marketing Head) — an AI-powered SaaS platform designed to automate digital marketing workflows for agencies and businesses. The platform leverages AI to perform website and social media audits, generate data-driven marketing strategies, create SEO-optimized content, and support multi-tenant architecture with BYOM (Bring Your Own Model) AI integrations.
Currently exploring Docker, AWS, TypeScript, system design, and cloud deployment while continuously improving my GitHub portfolio through real-world projects and consistent JavaScript learning.
| Domain | Proficiency | Details |
|---|---|---|
| AI Product Engineering | Advanced | Built AI-powered productivity and healthcare systems |
| Machine Learning Integration | Intermediate | Python ML microservices, prediction APIs, wait-time estimation |
| Data-Driven Applications | Advanced | Analytics dashboards, productivity metrics, queue insights |
| Real-Time Intelligence | Advanced | Socket.io-based real-time queue and activity systems |
| Full Stack AI Systems | Advanced | React + Node.js + Python ML architecture |
| RAG & Agentic AI | Learning | Building AI GitHub Project Explainer |
AI-Enhanced Hospital Queue Management System
AI-powered hospital queue and appointment management system designed to optimize patient flow, real-time token tracking, doctor dashboards, and wait-time prediction.
| Category | Details |
|---|---|
| Stack | React, Node.js, Express.js, MongoDB, Socket.io, Python ML |
| Scale | Multi-role healthcare platform |
| Performance | Real-time queue updates using Socket.io |
| Security | JWT Authentication, Role-Based Access Control |
| Impact | Improved patient queue visibility and operational flow |
| Live | https://ai-enhanced-hospital-queue-manageme.vercel.app |
| Repository | https://github.com/Ashutosh-Choubey27 |
- Built smart appointment booking and queue check-in flow
- Integrated ML microservice for crowd and wait-time prediction
- Designed dashboards for patients, doctors, and admins
- Implemented priority-based queue handling for emergency and senior patients
- Used real-time communication for live queue tracking
AI-Powered Smart Productivity Planner
Full-stack productivity platform built to help students manage tasks, focus sessions, scheduling, analytics, and AI-powered task breakdown.
| Category | Details |
|---|---|
| Stack | React, TypeScript, Supabase |
| Scale | Student productivity SaaS |
| Performance | Real-time collaboration and offline support |
| Security | Supabase Auth and protected data access |
| Impact | Improved task planning, focus, and productivity tracking |
| Live | https://smart-productivity-planner-five.vercel.app |
| Repository | https://github.com/Ashutosh-Choubey27 |
- Built AI-driven task breakdown and smart scheduling
- Added productivity heatmaps and analytics dashboards
- Designed drag-and-drop task management interface
- Implemented Pomodoro timer and Focus Mode
- Used Supabase for authentication and database operations
AI GitHub Project Explainer
An upcoming AI-powered developer tool that explains GitHub repositories, architecture, folder structure, dependencies, and code flow using modern AI workflows.
| Category | Details |
|---|---|
| Stack | React, Node.js, AI APIs, GitHub API |
| Scale | Developer productivity tool |
| Performance | Repository-level analysis |
| Security | Token-based GitHub access planned |
| Impact | Helps developers understand unknown codebases faster |
| Repository | Coming Soon |
- GitHub repository ingestion
- AI-based project explanation
- Folder and architecture breakdown
- Code flow understanding
- Developer-friendly documentation generation
Oct 2023 – Apr 2024
Worked in a high-volume technical support environment focused on troubleshooting, diagnostics, customer assistance, and service coordination.
- Troubleshot 300+ electronic devices including LED TVs, Amazon Alexa, and laptops
- Assisted 500+ customers monthly with technical issue resolution
- Achieved 95% first-contact resolution rate
- Resolved 600+ hardware and software support cases
- Coordinated 150+ installation and maintenance requests
Troubleshooting Technical Support Customer Handling Diagnostics Communication Incident Resolution
| Recognition | Details |
|---|---|
| Innovation Award | 1st Prize — Smart Portable Charging Case |
| Academic Excellence | MCA CGPA 8.2 |
| Quiz Competition | Swami Vivekanand Quiz Award — 2nd Position |
| Product Engineering | Built AI-powered healthcare and productivity systems |
| Cloud Learning | Completed AWS Cloud Practitioner Essentials |
Learning:
- Advanced React
- TypeScript
- AWS Cloud
- Docker
- Kubernetes
- System Design
Building:
- AI GitHub Project Explainer
- AI-Powered Full Stack Products
- Cloud-Native MERN Applications
Exploring:
- RAG Systems
- Agentic AI
- Scalable Backend Architecture
- DevOps Workflows
Open_To:
- Software Engineer Roles
- MERN Stack Developer Roles
- Full Stack Developer Roles
- AI Product Engineering Opportunities
