
Naveen Rana
@naveenrana
I build production-ready machine learning and RAG applications with Python and FastAPI.
What I'm looking for
I'm building machine learning and AI applications across the full lifecycle, from data preprocessing and EDA to model evaluation, deployment, and REST APIs.
For a Retrieval-Augmented Generation system, I built a Python application that retrieves relevant PDF content using embeddings and FAISS, then generates context-aware answers with Llama 3.2. I developed its FastAPI REST API and Streamlit interface for real-time use.
I also built an end-to-end depression severity prediction pipeline using Scikit-learn, achieving 85% classification accuracy. I used feature importance analysis and visualizations to communicate predictors including stress level, sleep duration, and social media usage.
During my academic summer internship at Chandigarh University, I worked with Git/GitHub workflows, Docker containerization, project sprints, backend fundamentals, and SDLC practices. I'm seeking an entry-level role where I can build scalable, production-ready data and AI applications.
Experience
Work history, roles, and key accomplishments
Academic Summer Intern
Chandigarh University
Jan 2025 - Dec 2025 (11 months)
Gained hands-on exposure to real-world software development workflows including Git/GitHub version control, Docker-based containerization, and technical documentation. Participated in project sprints, applying backend programming fundamentals and Docker deployment practices while strengthening understanding of the Software Development Lifecycle (SDLC).
Education
Degrees, certifications, and relevant coursework
Chandigarh University
Bachelor of Engineering, Computer Science
2022 -
Grade: 7.36/10
Pursuing Bachelor of Engineering in Computer Science with a CGPA of 7.36/10, expected to graduate in June 2026.
Infosys Springboard
Python Programming Certification, Python Programming
Completed a Python Programming Certification from Infosys Springboard.
Coursera
FastAPI Fundamentals Certification, FastAPI Fundamentals
Completed a FastAPI Fundamentals Certification from Coursera.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Skills
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