I am a software engineer passionate about bridging the gap between systems programming and artificial intelligence — building efficient, scalable, and intelligent systems from the ground up. My work spans backend architecture, frontend engineering, and deep learning research.

I currently work at a startup where I built a production-grade AI voice agent using Deepgram's STT and TTS APIs, reducing operational costs by 65% and improving latency by 40%. I focus on architecting reliable backends with FastAPI and crafting modern, interactive frontends with Next.js, ensuring both performance and seamless user experience.

At the Software Development Cell, GGSIPU, I lead backend development and system design for university-scale platforms used by thousands of students. My work involves designing scalable APIs, managing databases, and deploying secure infrastructure on VPS environments.

Beyond web systems, I actively explore the intersection of machine learning, deep learning, and natural language processing. I experiment with large language models, reinforcement learning, and multimodal architectures, constantly pushing my understanding of how intelligence can emerge from computation.

I'm deeply passionate about Rust and systems programming — fascinated by its blend of performance and safety. I use it to understand how low-level design impacts scalability, performance, and the developer experience itself.

I love dissecting complex ideas — whether it's a neural architecture or a compiler optimization — and translating them into real, working systems. I continuously share my insights and learning journeys across my website and socials, driven by the belief that engineering is a lifelong process of curiosity and creation.