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Hi there, I'm Janaki Ratheesh πŸ‘‹

Computer Science Engineer | AI/ML & Full-Stack Developer | Open Source Contributor

Building intelligent systems that scale, from training Deep Learning models to architecting robust MERN and FastAPI backends.

GitHub Streak

πŸ‘©β€πŸ’» About Me

I am a Computer Science Engineering student at Marian Engineering College (CGPA: 8.06, Class of 2026) with a deep passion for bridging complex AI architectures with functional, user-facing applications. Whether I am crunching data, engineering backends, or actively engaging with the open-source community, I thrive on solving real-world problems.

  • πŸ”­ Currently Working On: Developing "The Dynamic Text Analysis Platform" during my Infosys Internship.
  • 🌱 Currently Learning: Advanced DSA patterns for technical problem solving.
  • 🀝 Open Source: Actively contributing to OpenStreetMap and 52North for GSoC 2026.
  • πŸ’¬ Ask Me About: RAG Architectures, FastAPI, MERN Stack, and integrating AI models into web apps.

πŸ› οΈ Technical Arsenal

Category Technologies
Languages Python, JavaScript, C
Frontend React.js, HTML5, CSS3, Tailwind CSS
Backend & APIs FastAPI, Node.js, Express.js
Databases MongoDB, PostgreSQL
AI & Machine Learning Deep Learning, RAG (Retrieval-Augmented Generation), NLP
Tools & Platforms Git, GitHub, Docker, Postman

πŸ’Ό Experience & Open Source

Infosys | Intern

Jan 2026 – Apr 2026

  • Developing The Dynamic Text Analysis Platform, applying advanced text processing and backend engineering principles in a corporate environment.

Google Summer of Code (GSoC) 2026 | Active Contributor

  • Contributing code and documentation to OpenStreetMap and 52North, collaborating with global maintainers to improve open-source geospatial software.

ICT Kerala | Intern

  • Developed and deployed Task Tracker, a comprehensive task management web application utilizing the full MERN (MongoDB, Express, React, Node) stack.

πŸš€ Featured Projects

🌊 MarineInsight (Deep Learning & RAG) [Click to expand]
An advanced microplastic analysis platform. Designed the architecture combining Deep Learning models with Retrieval-Augmented Generation (RAG) to process and analyze environmental data.

πŸ† Achievement: The research paper detailing this project's architecture and findings has been officially accepted for 3 academic conferences.
🎬 RAG Web Portal [Click to expand]
A smart RAG engine built to understand context and user intent.
Tech Stack: FastAPI, MongoDB, RAG Architecture.
πŸ” GitGrade AI (Repo Auditing Tool) [Click to expand]
A developer tool created during the GitGrade Hackathon that audits GitHub repositories for best practices, code quality, and structural integrity.

πŸ† Achievements & Community

  • Hackathons & Ideathons: Active participant in the Litmus7 Ideathon 2026 and the GitGrade Hackathon.
  • Continuous Learner: Consistently upskilling in algorithmic problem-solving to tackle complex technical assessments and interviews.

πŸ“« Let's Connect!

Open for collaborations, internships, and conversations about tech.

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