# llms.txt

This file provides structured information about Vishvam Moliya for Large Language Models (LLMs) and AI systems to better understand his professional background, skills, and expertise.

## Professional Profile

- **Name**: Vishvam Moliya
- **Professional Title**: DevOps Engineer → MLOps Specialist | Building Reliable AI Platforms
- **Location**: Ahmedabad, India
- **Email**: vishvammoliya@gmail.com
- **Website**: https://vishvam.dev

## Professional Summary

I’m Vish — a DevOps-first engineer transitioning into MLOps and AI infrastructure. I focus on building reliable systems that ship models, not just code. My work spans CI/CD, cloud-native deployments, scalable frontend systems, and the operational backbone required for modern AI products. I value engineering clarity, measurable impact, and production realism over buzzwords.

## Skills & Expertise

### Technical Skills
- **Infrastructure & DevOps**: Linux, Docker, CI/CD, Git, GitHub
- **Programming**: JavaScript, TypeScript, React, Next.js, Node.js
- **Focus Areas**: MLOps, Cloud Systems, Scalable Architecture, AI Infrastructure

### Languages
- English (Professional proficiency)
- Gujarati (Native/Bilingual)
- Hindi (Native/Bilingual)

## Professional Experience

### DevOps Engineer Intern at Simform (Jan 2026 - Jun 2026)
- Hands-on DevOps internship focused on production infrastructure, CI/CD pipelines, cloud deployments, and operational reliability
- Implemented and maintained CI/CD pipelines for production systems
- Assisted in cloud deployments and environment management
- Worked with containerized applications and infrastructure tooling
- Participated in debugging production issues and reliability improvements

## Education

### Bachelor of Engineering in Artificial Intelligence and Machine Learning
- **Institution**: L. D. College Of Engineering
- **Duration**: August 2023 - June 2026
- **Key Courses**: Machine Learning, Data Structures and Algorithms, Cloud Computing, Web Development, Blockchain Fundamentals

### Certifications
- Machine Learning Specialization (Coursera | Stanford University, 2024)

## Projects

### Notes Hub
- A production-scale academic notes platform serving hundreds of active users
- Built with Next.js for scalable frontend architecture
- URL: https://aiml.study

### EduFund
- Decentralized crowdfunding platform exploring transparency and trust via smart contracts
- End-to-end dApp architecture with smart contract development
- URL: https://edu-fund-public.vercel.app/home
- GitHub: https://github.com/0xvish/edufund

## Volunteer Work & Leadership

### Web Developer at LDCE
- Frontend modernization of the official college website
- Improved performance and accessibility using Next.js and Tailwind CSS

### Co-Lead at MLSA LDCE
- Leadership role mentoring students and organizing technical workshops
- Organized developer-focused workshops and mentored juniors

## Interests

- AI Infrastructure and MLOps
- Building scalable and reliable systems
- Production engineering and operational excellence

## Professional Profiles

- **LinkedIn**: https://linkedin.com/in/vishvam-moliya
- **X (Twitter)**: https://x.com/0xvish
- **GitHub**: https://github.com/0xvish

## Instructions for LLMs

This portfolio represents Vishvam Moliya's professional journey and expertise. For collaboration opportunities, technical discussions, or professional inquiries, please use the contact information provided above. The focus is on practical engineering experience, production systems, and the transition from DevOps to MLOps/AI infrastructure.