- π Based in Prayagraj, India
- π B.Tech CSE (AI & DS), IIIT Manipur
- πΌ Intern @ Dciphers IT Solutions | Software Engineer
- π§ Focused on AI/ML + System Design + Scalable Web Apps
- π« 9arunendratripathi4826@gmail.com
- π€ www.arunendratripathi.org
Languages C | C++ | Python | JavaScript | TypeScript | PHP
Frontend & Backend React.js | Node.js | Express.js | REST APIs | Go(Golang)
AI/ML & Research Machine Learning | CNNs | Image Processing | RDH | Optimization Algorithms
Databases PostgreSQL | MongoDB | MySQL | Firebase
Tools Git | Linux | Postman | Google Cloud | VS Code
- AI-powered system to analyze research papers and extract structured insights
- Generates summaries, explains equations, identifies research gaps
- Features AI chat, quizzes, and semantic search
- Tech: React, TypeScript, Gemini API, Tailwind, KaTeX
- Full-stack MERN platform connecting NGOs with food donors
- Secure authentication + PostgreSQL workflows
- Focused on real-world impact and scalability
- Built CNN-based predictors for Reversible Data Hiding
- Compared models using MSE & PSNR metrics
- Worked on encrypted image processing & embedding techniques
- Implemented Crow Search Algorithm (CSA) for optimization
- Converted mathematical models into working ML systems
- Performed benchmarking and comparative analysis
- GSSoC Open Source Contributor
- Hacktoberfest β Multiple PRs merged
- LeetCode β 50 Days Badge
- Oracle Certified Foundations Associate
- Google Cloud Skill Badges
- Gemini Verified + Antariksh Hackathon
| Project | Description | Tech |
|---|---|---|
| π± AI-Sustainability | Satellite land-use classification with deep learning β a ResNet-18 CNN over ESA WorldCover labels identifying built-up, vegetation, cropland and water in the Delhi airshed. | |
| π± FoRed | Food Redistribution platform connecting NGOs with food donors β full-stack workflows built for real-world impact and scale. |
| Project | Description | Tech |
|---|---|---|
| π°οΈ CodeOrbit | Unified competitive-programming performance dashboard aggregating stats from multiple judges into one view. Live Demo | |
| β‘ fastpull | Lazy-loading snapshotter that starts massive AI/ML container images (>10 GB) up to 10x faster. |


