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AI Engineer with less than a year in Generative AI, Deep Learning & Python.
Motivated and detail-oriented Computer Science (IoT) undergraduate with strong foundations in Artificial Intelligence, Machine Learning, and Python programming. Experienced in developing deep learning and computer vision models using TensorFlow, Keras, and OpenCV through academic projects and internships. Skilled in working with Generative AI tools, LLM concepts, and automation frameworks to build intelligent systems. Passionate about applying AI technologies to solve real-world problems while continuously learning and contributing to innovative projects.
Sri Indu Institute of Engineering and Technology
Bachelor of Technology · Computer Science (IoT)
August 1, 2022 – June 30, 2026
Infosys Springboard
Generative AI Internship
September 1, 2025 – November 30, 2025
India
DLRL (Defence Electronics Research Laboratory)
Project Intern
September 1, 2025 – January 31, 2026
India
Dog Breed Detection using Deep Learning
January 1, 2022 – June 1, 2026
Developed a computer vision model to classify dog breeds from images using deep learning techniques. Performed dataset collection, image preprocessing, and data augmentation, and trained a Convolutional Neural Network (CNN) model for classification. Implemented the system using Python with TensorFlow/Keras and OpenCV, achieving accurate breed prediction evaluated through accuracy and confusion matrix.
Image Classification using CNN with transfer learning on MNIST
January 1, 2022 – June 1, 2026
Built an image classification model using Convolutional Neural Networks (CNN) with transfer learning on the MNIST dataset. Applied image preprocessing, model training, and fine-tuning of pre-trained networks to improve classification performance. Evaluated the model using performance metrics such as accuracy and loss to ensure reliable digit classification
AI-Agent Workflow
January 1, 2022 – June 1, 2026
Developed an AI-powered browser automation agent using Python, Playwright, and the browser-use framework to perform web tasks through natural language instructions. Integrated Google Gemini API to enable intelligent interaction with web pages, allowing the agent to browse websites, retrieve information, and automate tasks. Built a local web-based interface and implemented virtual environments for efficient execution and dependency management.
Principles of Generative AI
Infosys
June 1, 2026 – Present
Cyber Job Simulation
Deloitte
June 1, 2026 – Present
Generative AI Mastermind
Outskill
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a focused interest in AI and Machine Learning, aligning well with an AI Engineer role. The diversity of projects, from image classification to AI-powered browser automation, shows a breadth of application within AI. The certifications in Generative AI further indicate a proactive approach to learning and staying current with emerging technologies. However, the experience is primarily academic and internship-based, which might require more mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate's resume highlights strong analytical skills, logical reasoning, good communication, and collaboration. These soft skills are crucial for an AI Engineer role, which often involves complex problem-solving and teamwork. The project descriptions indicate an ability to work through the full lifecycle of AI model development, from data preprocessing to evaluation, suggesting a structured approach to problem-solving.