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AI Engineer with 1+ years in Machine Learning & Generative AI.
AI Engineer and M.Tech Artificial Intelligence graduate with experience in Machine Learning, Deep Learning, Generative AI, and Multi-Agent AI systems. Skilled in Python, Prompt Engineering, NLP, Computer Vision, and AI workflow automation through research projects and internships. Experienced in developing AI-powered applications using CrewAI, transformer-based models, and explainable AI techniques. Strong background in project management, collaboration, and problem solving with interest in scalable AI solution development, AI deployment workflows, and Generative AI applications.
Amrita Vishwa Vidyapeetham
M.Tech · Artificial Intelligence
August 1, 2023 – June 30, 2026
Christ College Of Engineering
B.Tech · EEE
August 1, 2019 – June 30, 2023
Kendriya Vidyalaya
Class XII · Bio Maths
June 1, 2017 – May 31, 2019
Kendriya Vidyalaya
Class X · Science
June 1, 2015 – May 31, 2017
Data Conquest
Machine Learning Research Intern
August 1, 2025 – March 1, 2026
Coimbatore, Tamil Nadu, India
Sanmina SCI India Ltd
Project Management Trainee
July 1, 2023 – August 1, 2024
Chennai, Tamil Nadu, India
Multi-Agent Job Application Automation System
January 1, 2025 – June 1, 2026
Developed a Generative AI-powered multi-agent system using CrewAI and OpenAI APIs to automate end-to-end job application workflows. Built AI agents for job analysis, resume tailoring, candidate profiling, and interview preparation generation. Implemented prompt engineering strategies to improve contextual response generation and workflow efficiency.
Heart Disease Prediction System
January 1, 2025 – June 1, 2026
Developed a deep learning-based healthcare prediction model using pretrained CNN architectures and PCA-based feature reduction. Performed model training, preprocessing, and evaluation on medical datasets to improve prediction accuracy. Achieved 90% prediction accuracy through optimized feature extraction and classification techniques.
Multi-Agent Blog Generation System
January 1, 2025 – June 1, 2026
Developed a multi-agent Generative AI system for automated blog content generation using CrewAI. Built AI agents for topic research, information extraction, and content generation workflows. Applied prompt engineering techniques to improve content quality.
FAV-Net: Attention-Based Fruit Identification and Health Classification
January 1, 2025 – June 1, 2026
Developed a hybrid CNN-Vision Transformer model for multi-output computer vision classification tasks. Built and evaluated deep learning pipelines for fruit recognition and health status prediction. Achieved 99% classification accuracy through attention-based feature fusion techniques. Integrated Explainable AI (XAI) methods using Grad-CAM for model interpretability and decision transparency.
Movie Recommendation System
January 1, 2025 – June 1, 2026
Developed an NLP-based recommendation system using machine learning techniques for personalized movie suggestions. Implemented text processing and similarity-based recommendation approaches for improved recommendation accuracy.
Multi-Agent Systems with CrewAI
DeepLearning.AI
April 1, 2026 – Present
Foundations of Prompt Engineering
AWS Training and Certification
August 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from multi-agent systems to computer vision and healthcare prediction, indicates a broad interest in AI applications. The academic background and personal projects align well with an AI Engineer role. The inclusion of project management experience suggests an ability to work in cross-functional teams, contributing to a positive cultural fit.
Soft Skills & Operational Fit
The candidate's resume highlights strong analytical, leadership, and problem-solving skills developed through project management activities. The project descriptions indicate an ability to coordinate and execute complex AI workflows. The focus on AI workflow automation and scalable AI solutions suggests a good operational fit for an AI Engineer role.