Nehasree R

I’m a Computer Science undergraduate with a strong foundation in Data Structures & Algorithms, Object-Oriented Programming, DBMS, and Operating Systems. I enjoy solving problems, writing clean code, and continuously learning software engineering principles.

Currently, I’m working as a Backend AI Engineering Intern at FlyRankAI, where I focus on building and improving backend solutions. I bring an AI-aware mindset, including Retrieval-Augmented Generation (RAG), alongside solid core engineering fundamentals.

In my projects, I built a Wedding Route Optimizer using FastAPI and Streamlit to compute efficient multi-destination travel routes. I implemented the Traveling Salesman Problem (TSP) with Depth-First Search (DFS) and backtracking, and integrated OpenStreetMap Nominatim and Google Maps APIs for geocoding and navigation.

I also developed a Hospital Patient Management System with CRUD operations using Streamlit and MongoDB Atlas via PyMongo. I like turning real requirements into reliable, interactive applications, and I stay motivated through learning—recently earning certifications like Scientific Computing with Python (freeCodeCamp) and AI Skills Passport (EY & Microsoft).