Full-stack web developer with 2+ years of experience building production applications. I specialize in React/Next.js frontends, Python/FastAPI backends, and AI/ML integration. Currently completing my B.Tech in Computer Science at Vellore Institute of Technology (May 2026).

What I build: Scalable web applications with real-world impact. My portfolio includes healthcare platforms achieving 85% diagnostic accuracy, IoT systems reducing downtime by 40%, and privacy-first AI applications.

Available: June 2026 for full-stack developer or AI/ML engineering roles (Remote preferred | Open to relocation)

Languages
JavaScript, TypeScript, Python, C++, SQL, Bash

Frontend
React, Next.js, HTML5, CSS3, Tailwind CSS, Redux, Responsive Design

Backend
Node.js, Express.js, FastAPI, RESTful APIs, GraphQL, Microservices

Databases
PostgreSQL, MongoDB, Redis, Prisma ORM, MySQL

AI/ML
TensorFlow, Scikit-learn, LangChain, Ollama, RAG (Retrieval-Augmented Generation)

DevOps & Tools
Git, Docker, AWS (EC2, S3), Vercel, CI/CD, Linux/Unix, Agile/Scrum

AI-powered healthcare diagnostic system combining ML models with medical expertise for prescription analysis and medical imaging diagnosis.

Key Achievements:

• 85%+ diagnostic accuracy on medical imaging (X-ray, MRI, CT scans)
• Multi-agent AI workflow using CrewAI for intelligent diagnosis
• RAG pipeline for prescription analysis using LangChain and ChromaDB
• Sub-2 second page load times with server-side rendering

Stack: Next.js, TypeScript, Python, FastAPI, TensorFlow, LangChain, ChromaDB

ML-powered predictive maintenance system for industrial equipment with real-time monitoring and failure prediction.

Key Achievements:

• 40% reduction in unexpected equipment downtime
• 92% prediction accuracy using ensemble ML models (XGBoost, Random Forest)
• Real-time data processing pipeline handling 10,000+ data points per minute
• Automated alerting system with maintenance recommendations

Stack: Next.js, React, Python, FastAPI, PostgreSQL, Redis, AWS, XGBoost

Local AI chat application with RAG capabilities running entirely on-device via Ollama for complete data privacy.

Key Achievements:

• 100% data privacy with zero cloud dependency
• Multi-model support (Llama, Mistral, and other open-source LLMs)
• Document Q&A system with vector embeddings for retrieval-augmented generation
• Real-time streaming responses with WebSocket connections

Stack: React, Python, FastAPI, Ollama, LangChain, RAG, Vector Databases

Modern developer portfolio with smooth animations and glassmorphism design.

Features:

• Responsive design with Aceternity UI components
• Framer Motion animations for smooth interactions
• Optimized with Next.js 14 App Router
• Dark mode with Tailwind CSS

Stack: TypeScript, Next.js 14, Tailwind CSS, Framer Motion

Full-Stack AI Developer | CuraSense Healthcare Platform
October 2025 - Present

Architected AI-powered healthcare diagnostic platform serving users across multiple countries. Integrated computer vision models for medical imaging analysis and implemented RAG pipeline for prescription analysis using LangChain.

Full-Stack IoT Developer | PredictiveCare Industrial Systems
December 2024 - January 2025

Developed industrial IoT solution with ML-powered failure prediction. Built real-time data processing pipeline and deployed ensemble models achieving 92% accuracy in equipment failure prediction.

Full-Stack AI Developer | Allma Studio Privacy Platform
January 2026 - Present

Engineered local AI chat system with zero cloud dependency. Integrated Ollama for on-device LLM processing and built document Q&A system with vector embeddings.

Technical Team Member | University Cyberwarriors Club
2022 - 2023

Organized hackathons and technical workshops on cybersecurity. Mentored students on secure coding practices and vulnerability assessment.

Position: Full-Stack Developer | Frontend Developer (React/Next.js) | Backend Developer (Python/Node.js) | AI/ML Engineer

Company Type: Product Companies, Healthcare Technology, AI/ML Startups, Fintech, SaaS

Availability: June 2026

Work Mode: Remote preferred, open to relocation

What I Bring:

• 4 production applications with measurable business impact
• End-to-end ownership from architecture to deployment
• Full-stack expertise across React/Next.js, Python/FastAPI, PostgreSQL
• Real-world AI/ML integration experience
• Strong CS fundamentals with proven ability to learn quickly

Bachelor of Technology in Computer Science Engineering
Vellore Institute of Technology | Expected May 2026

Relevant Coursework: Data Structures & Algorithms, Database Management Systems, Operating Systems, Computer Networks, Object-Oriented Programming, Software Engineering, Artificial Intelligence, Machine Learning

Email: vaibhav.kumar.kandhway@gmail.com
Portfolio: vaibhavkandhway.dev
LinkedIn: linkedin.com/in/vaibhav-kumar-kandhway
Location: Bhopal, India