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AI Engineer with less than a year in Machine Learning, Deep Learning & Generative AI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI/ML Engineer with strong knowledge of Python, Machine Learning, Deep Learning, and Generative AI concepts. Skilled in developing AI-based solutions using CNNs, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). Passionate about building intelligent systems using AI and data-driven technologies.
Anurag University
B.Tech · Artificial Intelligence & Machine Learning
August 1, 2021 – June 30, 2025
Maize Leaf Disease Prediction Using Deep Learning
January 1, 2026 – Present
Developed a CNN-based image classification model using the Plant Village dataset for maize disease Detection. Performed data preprocessing and image augmentation to improve model performance. Classified diseases such as blight, common rust, and leaf spot with high prediction accuracy.
Maize Leaf Disease Prediction Integrated with IoT
January 1, 2026 – Present
Built an IoT-enabled crop disease detection system using real-time image capture from edge devices and sensors. Applied transfer learning with lightweight CNN architecture for efficient disease classification. Achieved over 97% prediction accuracy.
Personalized AI Tutor (LLM-Driven Learning Assistant)
January 1, 2026 – Present
Developed an AI-powered tutoring system using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Built workflows for accurate information retrieval and personalized response generation. Improved interaction quality through prompt engineering and backend API integration
Full Stack Data Science & Artificial Intelligence
Naresh i Technologies
June 1, 2026 – Present
Introduction to Artificial Intelligence
Infosys Springboard
June 1, 2026 – Present
Introduction to Machine Learning
Infosys Springboard
June 1, 2026 – Present
AWS AI-ML Virtual Internship
AWS Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying AI to diverse domains like agriculture and education, indicating a broad curiosity. The focus on AI/ML aligns well with an AI Engineer role. However, the lack of professional experience or diverse team projects makes it challenging to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate's resume indicates a project-oriented approach, suggesting an ability to work on defined tasks and deliver solutions. The academic nature of projects implies a learning-oriented mindset. However, without completed psychometric or English tests, it is difficult to assess communication clarity, logical reasoning, work attitude, stress handling, or team collaboration skills.