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AI Engineer with less than a year in AI/ML and Deep Learning.
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Recent Computer Science graduate (2024) with specialized training as an AI Engineer. Completed a 12-month internship at Rubiexe AI, contributing to the development of AI-based solutions. Skilled in applying AI techniques to real-world projects, with a strong foundation in problem-solving and technical innovation.
SEA College of Engineering and Technology
B.E · Computer Science Engineering
August 1, 2020 – June 30, 2024
Alva's PU College
Pre University College · PCMB
June 1, 2018 – May 31, 2020
The Preethi Public School
Secondary State Board of Education
June 1, 2006 – May 31, 2018
Rubixe AI Company
AI and Data Science Intern
December 1, 2024 – September 1, 2025
India
SmartITSM – AI-Powered Incident Prioritization and Analytics
December 1, 2024 – September 1, 2025
IT Service Management (ITSM) Analytics & Incident Prediction System. Integrated live ITSM incident data from MySQL database for real-time analysis. Performed data cleaning, preprocessing, and feature engineering to standardize categories and handle missing values. Built machine learning models to predict incident priority levels and classify service categories. Evaluated model performance using confusion matrix, precision, recall, F1-score, and ROC-AUC. Designed a real-time API (Flask/FastAPI) for incident priority prediction and ITSM analytics dashboard.
DermaVision – AI-Powered Skin Disease Detection using Deep Learning
December 1, 2024 – September 1, 2025
Skin Disorder Classification (Computer Vision). Collected and preprocessed dermatological image datasets for multi-class skin disorder classification. Designed and trained a Convolutional Neural Network (CNN) for automated detection of skin diseases. Applied data augmentation techniques to improve model generalization and robustness. Evaluated performance using accuracy, precision, recall, F1-score, and confusion matrix. Built an interactive prediction module to classify skin disorders in real-time from uploaded images.
Aritificial Intelligence Expert
IABAC
June 1, 2026 – Present
Data Science Foundation
IABAC
June 1, 2026 – Present
Artificial Intelligence Engineer
NASSCOM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of AI, from IT service management to medical imaging, indicating adaptability and a broad interest in AI domains. The listed certifications and academic background align well with a focus on AI and data science. The internship experience at an AI company further strengthens the cultural fit for an AI-centric role. The breadth of skills, including MLOps and LLM integration, suggests a forward-thinking approach relevant to modern AI development.
Soft Skills & Operational Fit
The candidate's resume highlights a strong foundation in problem-solving and technical innovation, which are crucial for an AI Engineer role. The project descriptions indicate an ability to work through the full lifecycle of AI projects, from data handling to deployment. However, without specific assessment data on communication, logical reasoning, or teamwork, it's difficult to fully assess soft skills and operational fit beyond what's implied by project completion.