I’m a Computer Science undergraduate specializing in Artificial Intelligence and Machine Learning, with a strong interest in building production-ready systems that sit at the intersection of AI, data, and full-stack development.

I enjoy taking ideas from concept → model → application → deployment. My work spans deep learning and computer vision (PyTorch, ResNet-50), full-stack web development (React, TypeScript, Spring Boot), and data analytics (Power BI, SQL). I focus on writing clean, scalable code and designing systems that solve real-world problems.

During my internship with Edunet Foundation & Shell India, I built an automated tree species identification system achieving 92.5% accuracy, complete with an end-to-end ML pipeline and a real-time Streamlit web app—cutting manual identification time by 85%.

I’ve also developed:

AI-powered resume analysis platforms with ATS optimization

Scalable backend systems with JWT authentication and analytics

Interactive dashboards for large-scale election data

Recommendation systems using classical ML techniques

Currently, I’m deepening my skills in AI engineering, system design, and backend scalability, while actively building and shipping projects. I’m always excited to collaborate, learn, and work on impactful tech.

• 🌍 I'm based in Lucknow
• 🖥️ See my portfolio at here
• ✉️ You can contact me at abhayagnihotri976@gmail.com
• 🚀 I'm currently working on AI-Based LMS (till now only traditional LMS is built up)
• 🧠 I'm currently learning spring boot
• 👥 I'm looking to collaborate on java full stack projects and data science related projects
• 💬 Ask me about lets build it !!

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