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Generative AI Engineer with 1+ years in Machine Learning & Full-Stack Development
Aspiring Generative AI Engineer and MCA student with strong foundations in Python, Machine Learning, Artificial Intelligence, Data Analysis, and Software Development. Experienced in building machine learning solutions using Random Forest Classification, K-Means Clustering, REST API integration, and Streamlit deployment. Possess hands-on knowledge of AI/ML fundamentals, Natural Language Processing, Deep Learning concepts, and cloud computing basics. Published research work in Artificial Intelligence and actively exploring Generative AI, Prompt Engineering, LLMs, RAG systems, and modern AI application development.
St Aloysius (Deemed to be University)
Master of Computer Applications (MCA) · Computer Applications
August 1, 2024 – June 30, 2026
Dr. P. Dayananda - P. Pai Government First Grade College, Mangalore
Bachelor of Computer Applications (BCA) · Computer Applications
August 1, 2021 – June 30, 2024
SaaS 360 Cloud Tech India Pvt. Ltd.
Full-Stack Developer Intern
June 1, 2025 – June 1, 2026
India
Simple Task Management System (Laravel)
June 1, 2026 – Present
Developed a full-stack web application with complete CRUD functionality. Implemented task prioritization, filtering, and status tracking. Designed RESTful backend architecture with database integration.
Movie & Event Booking System
June 1, 2026 – Present
Developed a web-based booking platform with secure authentication. Implemented booking workflows and API-based data handling. Integrated frontend and backend modules for seamless user experience.
Customer Purchase Behaviour Predictor
June 1, 2026 – Present
Built an end-to-end machine learning pipeline using Python. Performed data preprocessing, feature engineering, and model optimization. Trained a Random Forest Classifier achieving 91% prediction accuracy. Deployed the solution using Streamlit for real-time customer purchase prediction.
Impact of AI in Education: Challenges and Solutions
June 1, 2026 – Present
Studied AI adoption, algorithmic bias, and privacy challenges in education. Applied Decision Trees, Random Forest, and K-Means algorithms for analysis. Published findings highlighting opportunities and challenges of AI-driven education systems.
Customer Segmentation using K-Means Clustering
June 1, 2026 – Present
Applied unsupervised machine learning techniques for customer segmentation. Conducted Exploratory Data Analysis (EDA) and feature selection. Generated actionable business insights using K-Means clustering. Visualized customer groups based on spending and income patterns.
Artificial Intelligence: Concepts and Techniques
NPTEL
June 1, 2026 – Present
Introduction to Natural Language Processing
Infosys Springboard
June 1, 2026 – Present
Basics of Python
Infosys Springboard
June 1, 2026 – Present
AI SQL and Relational Database 101
Cognitive Class
June 1, 2026 – Present
Privacy and Security in Online Social Media
NPTEL
June 1, 2026 – Present
Cloud Computing Basics (Cloud 101)
Coursera
June 1, 2026 – Present
Programming Fundamentals Using Python
Infosys Springboard
June 1, 2026 – Present
Gen AI Powered Data Analytics Job Simulation
Forage
June 1, 2026 – Present
Introduction to Artificial Intelligence
Infosys Springboard
June 1, 2026 – Present
Introduction to Deep Learning
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from full-stack web development to various machine learning applications and academic research in AI, indicates a broad interest and willingness to explore different technical domains. Their active pursuit of certifications in AI/ML and Generative AI aligns well with a culture of continuous learning and innovation. The target role of 'Generative AI Engineer' is directly supported by their stated interests and recent learning efforts, suggesting a good cultural fit for a forward-thinking AI team.
Soft Skills & Operational Fit
The candidate's participation in extracurricular activities and volunteering suggests a proactive attitude and potential for teamwork. Their academic background and continuous learning through certifications indicate a strong drive for self-improvement and adaptability. The project descriptions are clear and concise, indicating good communication skills in a technical context.