Overview
Software Engineering Intern (Front-End) @Kifyathi Health
Social Links
About
-
Full-Stack Engineer specializing in Real-Time AI Systems, Next.js & React.
- Fast development cycles with reliable, maintainable code for clients any need.
- Experience:
- Front-end and back-end development
- Real-time streaming, WebSockets, and event-driven systems
- Skills:
- JavaScript / TypeScript,Node.js, Python
- React / Next.js, Tanstack
- MongoDB, PostgreSQL
- REST APIs,Express, tRPC,WebSockets
- Tailwind CSS, Radix UI, Chakra UI, Shadcn, Figma
- Linux, Docker, CI/CD and cloud deployment
-
Designed and shipped production-grade web applications with a focus on performance, accessibility, and UX.
- Highlights:
- Reduced front-end incidents by 80% through robust architecture and testing
- Led component-driven development and improved CI workflows
- Highlights:
-
Passionate about integrating AI/ML into user-facing products and voice-driven experiences.
- Experience building AI chat applications and voice-interactive platforms
- Skills:
- AI chatbots and assistants
- Prompt engineering and model integration
- Realtime audio processing and low-latency responses
- Integration with OpenAI GPT-4, 11Labs TTS, Deepgram, and Supabase
-
Based in Pune, India — available for collaboration.
GitHub Contributions
Stack
Experience
Kifyathi Health
Real-Time Health-Tech Product for Hospitals
- Engineered responsive React web application integrating WebSockets for seamless real-time patient data updates, enabling faster clinical decisions.
- Architected JavaScript-first component patterns across the application, slashing front-end bugs by 80% and enhancing maintainability.
- Partnered with backend engineers to define API contracts and implemented 50+ robust RESTful endpoints for efficient data synchronization.
- React
- JavaScript
- WebSockets
- REST APIs
- TypeScript
- Real-time Systems
- Teamwork
- Problem-solving
Education
- Third-year Computer Science student with focus on full-stack development.
- Specializing in JavaScript/TypeScript ecosystems and React/Next.js frameworks.
- Coursework includes Object-Oriented Programming, Data Structures & Algorithms, and Microprocessors.
- Active in self-driven AI/ML learning projects including prompt engineering and model integration.
- C++
- Python
- JavaScript
- TypeScript
- Data Structures
- Algorithms
- OOP
- Self-learning
Projects(6)
🎤 Voice-driven AI companion for real-time subject explanations (Math, Science, Coding).
- 🚀 Developed using Next.js 15 App Router, TypeScript, React Server Components, and Tailwind CSS.
- 🔗 Integrated advanced real-time stack: Vapi (voice orchestration), OpenAI GPT-4 (responses), 11Labs TTS (speech synthesis), Deepgram (speech-to-text).
- 🛡️ Demonstrates end-to-end production mindset: Secure auth patterns with Clerk, real-time state management, scalable AI/ML integration for educational impact, error monitoring with Sentry, and database management with Supabase.
- 🔧 Personal Project
- 🏭 Production-Grade
- ⚛️ Next.js 15
- 🔷 TypeScript
- ⚛️ React
- 🎨 Tailwind CSS
- 🤖 Vapi AI
- 🧠 OpenAI GPT-4
- 🔊 11Labs TTS
- 🎙️ Deepgram
- 🗄️ Supabase
- 🔐 Clerk Auth
- 📊 Sentry
💬 A modern, feature-rich chat platform with intelligent folder organization, AI-powered responses, and real-time communication.
✨ Key features:
- ⚡ Real-time WebSocket server for AI interactions using Socket.io
- 🚀 Performance optimizations with baselines and Lighthouse audits
- 🔑 Secure authentication via NextAuth and Discord OAuth
- 🔌 Extensible API with tRPC and Prisma for database operations
- 🎨 Modern UI with Tailwind CSS and Radix UI components
📚 This project demonstrates a production-grade architecture for scalable AI chat applications.
- ⚛️ Next.js
- 🛠️ tRPC
- 🐘 PostgreSQL
- 📦 Prisma
- 🎨 Tailwind CSS
- 🎛️ Radix UI
- 🔐 NextAuth
- 📡 Socket.io
- 📊 React Query
🎨 Web application leveraging AI to generate creative images from user prompts.
- 🚀 Built with Next.js 14+ App Router, Tailwind CSS for styling, and MongoDB with Mongoose for data management.
- 🔗 Integrates multiple AI services: Pollinations, Hugging Face, OpenAI, and RunwayML for diverse image generation.
- 🛡️ Features include saving images locally, user-friendly interface, API routes for requests and processing, and optional Cloudinary integration for storage.
- ⚡ Utilizes Sharp for image processing and Axios for HTTP requests, emphasizing performance and scalability.
- 🔧 Personal Project
- ⚛️ Next.js 14+
- 🎨 Tailwind CSS
- 🗄️ MongoDB
- 📦 Mongoose
- 🤖 Pollinations
- 🤖 Hugging Face
- 🧠 OpenAI
- 🎥 RunwayML
- 🖼️ Sharp
- ☁️ Cloudinary
- 📡 Axios
Certifications(9)
S.O.L.I.D Principle Every Developer Must Know (Participation Certificate)
- Issued by
- Scaler MASTERCLASS
- Issued on
Agile Project Management (Course Certification)
- Issued by
- Udemy
- Issued on
Fundamentals Of Docker & Kubernetes (Participation Certificate)
- Issued by
- Scaler MASTERCLASS
- Issued on
AWS Cloud Computing (Workshop)
- Issued by
- BVCOEL
- Issued on
A deep dive into Artificial Intelligence and its applications workflow using MATLAB (Course Certification)
- Issued by
- MathWorks
- Issued on
Certificate of Contribution - Safe & secure Ganesh Mandal's Competition
- Issued by
- FSAI
- Issued on
- —
Certificate of Appreciation - Induction Program Coordinator
- Issued by
- BVCOEL
- Issued on
- —
Workshop On Environment Conservation And Protection (Participation Certificate)
- Issued by
- BVCOEL
- Issued on