name: "Yaten Arora"
role: "Full Stack Developer | AI/ML Engineer"
education: "B.Tech Information Technology, Dr. B.R. NIT Jalandhar (2023 - Current)"
focus:
- Building production-grade full-stack applications with Next.js & TypeScript
- Designing AI-driven features β real-time speech-to-text, RAG chatbots, resume analysis
- Scalable backend systems with MongoDB, Express.js & secure APIs
- Real-time systems using WebSockets / Socket.io
mindset: "Product-first engineering β I ship features that real users use, not just demos"Open To: Software Engineering Internships/Roles Β· AI/ML Engineering Β· Full Stack Opportunities Β· Open Source Collaboration
Languages
Frontend
Backend & Databases
Cloud, DevOps & Tooling
| Domain | Proficiency | Details |
|---|---|---|
| RAG (Retrieval-Augmented Generation) | Advanced | Built a RAG-powered AI chatbot for website-specific assistance, reducing generalized AI responses |
| Speech-to-Text Integration | Intermediate | Real-time speech-to-text conversion for AI-driven interview simulations |
| AI-Driven Evaluation Systems | Intermediate | Automated answer evaluation, performance scoring & personalized feedback pipelines |
| AI Resume Analysis | Intermediate | AI-powered resume analyzer to improve candidate interview readiness |
π HireReady β AI Interview Preparation Platform
AI-powered full-stack platform delivering Technical, HR, and Behavioral interview practice with real-time AI-driven simulations and resume analysis, serving 50+ active users.
| Stack | Scale | Performance | Security | Impact | Repository |
|---|---|---|---|---|---|
| Next.js, TypeScript, MongoDB | 50+ active users | Real-time speech-to-text & scoring | Secure authentication, Razorpay payments | Automated interview readiness feedback | View Repo |
Designed and developed a full-stack AI-powered interview preparation platform with technical, HR, and behavioral practice modules, coding challenges, and MCQ assessments. Implemented AI-driven interview simulations featuring real-time speech-to-text conversion, automated answer evaluation, personalized feedback, and performance scoring, alongside an AI-powered resume analyzer. Built an integrated coding assessment and MCQ practice module with secure authentication, interview history, progress tracking, scalable backend APIs, and Razorpay payment integration for subscription plans and credit-based purchases.
π€ InfluMatch β Brand & Influencer Collaboration Platform
Full-stack collaboration platform connecting brands and influencers with role-based dashboards and an AI-powered onboarding chatbot, supporting 50+ registered users and 10+ active collaborations.
| Stack | Scale | Performance | Security | Impact | Repository |
|---|---|---|---|---|---|
| Next.js, TypeScript, MongoDB, RAG | 50+ users, 10+ collaborations | Retrieval-based AI responses | Role-based secure dashboards | Streamlined onboarding & campaign guidance | View Repo |
Designed and developed a full-stack collaboration platform connecting brands and influencers. Implemented role-based dashboards for Admin, Brand, and Influencer users, enabling secure profile discovery, campaign creation, and collaboration workflows. Implemented a RAG-powered AI chatbot to provide website-specific assistance by retrieving relevant platform information, enabling accurate onboarding support, campaign guidance, and navigation while reducing generalized AI responses. Built scalable backend logic and APIs with TypeScript and MongoDB, ensuring type-safe data handling, reliable persistence, and smooth application performance.
π¬ QuickChat β Real-Time Chat Application
Real-time chat application built on the MERN stack with secure authentication and low-latency WebSocket communication, attracting 50+ users within launch week.
| Stack | Scale | Performance | Security | Impact | Repository |
|---|---|---|---|---|---|
| MERN, Socket.io, Tailwind CSS | 50+ users, 2k+ messages | 40% faster message delivery | JWT-based authentication | Smooth real-time group conversations | View Repo |
Created and deployed a real-time chat application using the MERN stack with secure JWT-based authentication and a responsive UI (React + Tailwind CSS), attracting 50+ users within launch week. Implemented low-latency communication via Socket.io WebSockets, reducing message delivery time by 40% and ensuring smooth group conversations. Designed and optimized RESTful APIs with Express.js + MongoDB to handle user registration, friend lists, and storing 2k+ messages with high efficiency.
Lead β The CyberNauts Society
NIT Jalandhar
Mentored students in Web Development and DSA, organizing workshops, contests, and technical events for the campus developer community.
- Led technical mentorship sessions on Web Development and Data Structures & Algorithms
- Organized workshops, coding contests, and technical events
- Built a culture of peer learning within the society
Leadership Mentorship Web Development DSA
Member β WDMC (Web Development & Media Cell)
NIT Jalandhar
Contributed to the development and maintenance of the institute's TPO (Training & Placement Office) website.
- Contributed to development and ongoing maintenance of the institute's TPO website
- Collaborated with a team on production web infrastructure
Web Development Maintenance Collaboration
| Recognition | Details |
|---|---|
| π Competitive Programmer | 1650+ LeetCode rating with 500+ problems solved |
| π₯ HackMol 5.0 | Selected among the Top 300 teams |
| π Lead, The CyberNauts Society | Mentored students in Web Development & DSA |
| π» WDMC Member | Contributed to institute's TPO website development & maintenance |
learning:
- Advanced RAG architectures and AI agent design
- System design for scalable full-stack products
building:
- HireReady: AI-powered interview preparation platform
- InfluMatch: Brand-influencer collaboration platform
exploring:
- Applied AI/ML in product engineering
- Real-time systems at scale
open_to:
- Software Engineering Internships & Full-Time Roles
- AI/ML Engineering Opportunities
- Open Source Collaboration
