Mohd Arham

I’m a Computer Science student who enjoys turning ideas into working software—especially when I can combine clean full-stack engineering with practical AI. I’ve built scalable web apps and RESTful APIs, and I’m comfortable working end to end from UI to backend logic.

In my internship experience, I built 5+ responsive web pages using HTML5, CSS3, JavaScript, and Bootstrap, then integrated front-end components with back-end logic while managing the codebase with Git and GitHub. I also developed Android apps using XML layouts and Java/Kotlin, following Material Design guidelines and testing across multiple device configurations in Android Studio.

My projects reflect how I think: VectorDB is an AI search engine with RAG, where I built a vector database from scratch in C++ using HNSW, KD-Tree, and Brute Force, supporting multiple distance metrics. I implemented a full RAG pipeline (chunking, embeddings via nomic-embed-text, storage in HNSW, semantic retrieval, and answer generation using llama3.2) and exposed it through a REST API server.

I also enjoy building real user-facing products, like FitLife with a real-time calorie calculator and BMI tracking, and Task Elite, a role-based enterprise task manager with employees updating status in real time across separate dashboards. From a fundamentals perspective, I strengthen my core skills in DSA, OOP, and API design through coursework and certifications in software development and networking.