Rosanne Chugh profile photo 1 on Tal

Rosanne Chugh

Ex- DAI Solutions Intern @ AIONOS | Full Stack Developer & AI Enthusiast | Chair @ IEEE | CSE @ MIT Bengaluru

Bengaluru

1+ year of work experience

IEEE MIT Bengaluru
Aug 20264 mosPresent

Office of Corporate Engagement and Career Advisory Services, MITB
Nov 20251 yr 1 moPresent

AIonOS
May 20264 mosAug 2026

- Built and deployed 6–7 REST API endpoints using Python, FastAPI, and PostgreSQL, containerized with Docker and hosted on AWS (EC2, S3, IAM, VPC) - Worked with Git and GitHub workflows, including branching, pull requests, and CI/CD pipelines with GitHub Actions, and took part in code reviews with senior engineers - Applied data science fundamentals (EDA, preprocessing, model evaluation) with Pandas, NumPy, and Scikit-learn on a Titanic survival analysis and a house price prediction model - Built a RAG-based PDF Qamp; A system using chunking, embeddings, and vector retrieval (LangChain, FAISS, ChromaDB), and a chatbot using the OpenAI API - Explored agentic AI, including tool calling, multi-agent workflows, and MCP concepts, using LangGraph and CrewAI, and produced agent workflow diagrams - Designed and delivered a self-directed GenAI capstone project, taking it from problem definition to a working demo
Marketing Mojito
Jan 20263 moApr 2026

Remote

IEEE MIT Bengaluru
Sep 20251 yrAug 2026

Developers Club - MITBLR
Aug 20251 yr 1 moAug 2026

IAESTE LC Manipal
Feb 20251 yr 7 mosAug 2026

Rosanne’s AI Stack

claude
claude
cursor
cursor
kiro
kiro
lovable
lovable
notebooklm
notebooklm
ChatGPT
ChatGPT

Education

Manipal institute of technology

Bachelor of Technology - BTech, Computer Science

Manipal institute of technology

20244 yrs2028
Air Force Bal Bharati School

CBSE, Science

Air Force Bal Bharati School

201113 yrs2024

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Headline

Ex- DAI Solutions Intern @ AIONOS | Full Stack Developer & AI Enthusiast | Chair @ IEEE | CSE @ MIT Bengaluru

About

I am a Computer Science and Engineering student at Manipal Institute of Technology, Bengaluru, with hands-on experience in software and web development, and a growing interest in full stack development and artificial intelligence. During my internship at Marketing Mojito, I worked on real client projects where I developed and redesigned WordPress websites, built responsive interfaces using HTML, CSS, JavaScript, and React, and implemented WooCommerce features to enhance user experience. I also contributed to testing and optimizing websites for performance, usability, and reliability. Beyond my internship, I enjoy building projects that solve practical problems. I have worked on projects like Placeme and CardioSense, where I explored building user-centric applications, working with real-world data, and applying concepts related to intelligent systems. My technical skill set includes Java, Python, and JavaScript, along with experience in React, Node.js, and working with databases such as SQL and SQLite. I also have exposure to frameworks and libraries like Flask, TensorFlow, and OpenCV. I am continuously expanding my knowledge in full stack development and AI to build scalable and impactful solutions. I am particularly interested in opportunities where I can apply my skills to real-world problems, collaborate with driven teams, and grow as a software developer.

Location

Bengaluru

AI stack

claude

cursor

kiro

lovable

notebooklm

ChatGPT

Work experience

Chair at IEEE MIT Bengaluru, Aug 2026 - Present · 4 mos

Junior Placement Committee Member at Office of Corporate Engagement and Career Advisory Services, MITB, Nov 2025 - Present · 1 yr 1 mo

DAI - Solutions Intern at AIonOS, May 2026 - Aug 2026 · 4 mos, - Built and deployed 6–7 REST API endpoints using Python, FastAPI, and PostgreSQL, containerized with Docker and hosted on AWS (EC2, S3, IAM, VPC) - Worked with Git and GitHub workflows, including branching, pull requests, and CI/CD pipelines with GitHub Actions, and took part in code reviews with senior engineers - Applied data science fundamentals (EDA, preprocessing, model evaluation) with Pandas, NumPy, and Scikit-learn on a Titanic survival analysis and a house price prediction model - Built a RAG-based PDF Qamp; A system using chunking, embeddings, and vector retrieval (LangChain, FAISS, ChromaDB), and a chatbot using the OpenAI API - Explored agentic AI, including tool calling, multi-agent workflows, and MCP concepts, using LangGraph and CrewAI, and produced agent workflow diagrams - Designed and delivered a self-directed GenAI capstone project, taking it from problem definition to a working demo

Web Development Intern at Marketing Mojito, Jan 2026 - Apr 2026 · 3 mo, Remote

General Secretary at IEEE MIT Bengaluru, Sep 2025 - Aug 2026 · 1 yr

Projects and Innovation Head at Developers Club - MITBLR, Aug 2025 - Aug 2026 · 1 yr 1 mo

Content & GD at IAESTE LC Manipal, Feb 2025 - Aug 2026 · 1 yr 7 mos

Education

Bachelor of Technology - BTech, Computer Science, Manipal institute of technology

CBSE, Science, Air Force Bal Bharati School

Public links

github: https://github.com/rosannechugh

leetcode: https://leetcode.com/rosannechugh