Aditya Arora

About Aditya Arora

I’m a Computer Science undergraduate at DIT Dehradun (CGPA 8.5) and a Software Developer Intern at Infosys, focused on building scalable backend systems and optimizing distributed microservices. I’ve worked extensively with Spring Boot, FastAPI, Docker, and AWS to design production-grade architectures with strong emphasis on performance, reliability, and maintainability. I’ve engineered systems such as a secure multi-language code execution platform with containerized sandboxing and AI-driven feedback pipelines, an AI-powered document intelligence system leveraging YOLOv10 and FAISS for sub-100ms semantic search, and a real-time disaster coordination platform integrating multiple AI tools and live data streams to improve response efficiency. I have a strong foundation in Data Structures and Algorithms, reflected by a LeetCode Guardian rating (2300+, top 0.7% globally) and a global top 600 rank in total problems solved. I’ve also been a HackWithInfy 2025 Grand Finalist and an Adobe Hackathon Semi-Finalist, demonstrating consistent performance in high-scale competitive environments. I’m particularly interested in backend engineering, distributed systems, and applied AI, and I aim to build systems that operate at scale, handle real-world complexity, and deliver measurable impact.

Experience

1. Software Engineer Intern

   Infosys

   Jan 2026 — Present · Bengaluru, IN

   First half:Started with hands-on training focused on Java, Spring Boot, REST APIs, SQL, and microservices, where I built multiple backend projects from scratch. This phase was very implementation-heavy — I worked on designing APIs, structuring services, and writing clean, scalable code while getting comfortable with real-world backend development practices.Second half:Moved into applied research in quantum computing, where I worked on understanding and experimenting with quantum circuits, superposition, and algorithmic behavior in the context of optimization problems. Instead of just learning theory, I explored how quantum approaches can be used alongside classical methods for better problem-solving. Alongside this, I continued contributing to backend tasks — improving features, debugging, and refining system design — bringing a more analytical, research-driven mindset into engineering decisions