Open to opportunities

Abhay Agnihotri

@abhayagnihotri

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AI and full-stack developer specializing in computer vision and data-driven applications.

India

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What I'm looking for

I seek roles building production-ready AI and full-stack systems where I can apply computer vision, ML, and analytics to deliver user-focused, scalable solutions and continue learning in a collaborative product team.

I am a Computer Science student specializing in Artificial Intelligence and Machine Learning, with hands-on experience building end-to-end solutions in computer vision, web development, and analytics.

I have delivered high-impact projects including a PyTorch-based tree species classifier achieving 92.5% accuracy, AI-driven resume analysis web app, and a URL-shortening platform with authentication and analytics.

My technical toolkit includes Python, Java, React, Spring Boot, PyTorch, SQL, Power BI and deployment experience using Streamlit and modern frontend stacks to create responsive, user-focused products.

I am driven by translating data and models into production-ready applications and interactive visualizations that provide measurable insights and user value.

Experience

Work history, roles, and key accomplishments

Project Intern

Edunet Foundation and Shell India Pvt. Ltd

Jul 2025 - Aug 2025 (1 month)

Built a computer vision application for automated tree species identification using PyTorch and ResNet-50, achieving 92.5% accuracy on 30+ species and deployed a Streamlit web interface with confidence visualizations and real-time drag-and-drop classification.

PyTorch Transfer Learning ResNet 50 Computer Vision Streamlit Python Model Evaluation ResNet50

Education

Degrees, certifications, and relevant coursework

Dr A.P.J. Abdul Kalam Technical University

Bachelor of Technology, Computer Science (Artificial Intelligence and Machine Learning)

2022 -

Grade: 8.4/10.0

Pursuing B. Tech in Computer Science with specialization in Artificial Intelligence and Machine Learning; expected graduation July 2026 with a current CGPA of 8.4/10.0.