About me
Aditya Tiwari is a Computer Science student with a primary focus on Software Engineering, Artificial Intelligence and Full-Stack Development. His work lies at the intersection of research and real-world systems, where he builds production-oriented AI & Software applications rather than just experimental prototypes.
He has contributed to government-backed platforms focused on tribal governance and healthcare accessibility, built multiple AI-powered systems using computer vision and large language models, and won several national-level hackathons. His research has resulted in four publications, including two Best Paper awards at international conferences.
His technical interests revolve around applied AI systems, computer vision pipelines, large language models and RAG systems, full-stack AI products, decision support systems, and real-time data integrations. He prefers building end-to-end systems where machine learning models are integrated into scalable, usable products rather than isolated experiments.
Technical Focus Areas
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Applied AI Systems
Building production-ready AI applications with LLMs, RAG systems, and NLP pipelines for real-world impact.
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Computer Vision & ML
Developing object detection, image classification, and OCR systems using YOLOv8, OpenCV, and deep learning frameworks.
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Software Engineering
Designing and building scalable, production-ready systems with a focus on architecture, performance, and maintainability.
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Full-Stack Development
Building responsive web applications with React, Next.js, Node.js, and modern cloud architectures.
