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Generative AI Engineer with less than a year in Machine Learning & Large Language Models
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Assessing your cultural and operational fit
MCA graduate with hands-on experience in Artificial Intelligence, Machine Learning, and Generative AI applications. Experienced in developing AI solutions using Python, Deep Learning, Computer Vision, and Large Language Models. Interested in building intelligent applications including AI assistants, chatbots, and ML-based systems.
Kannur University
Master of Computer Applications · Information Technology
August 1, 2023 – July 1, 2025
Government Brennen College, Thalassery
Bachelor of Mathematics · Mathematics
June 1, 2019 – March 1, 2022
Luminar Technolab
Data Science Intern
September 1, 2025 – May 1, 2026
Cochin, Kerala, India
AI-Powered Career and Recruitment Assistant
March 1, 2026 – June 1, 2026
Developing an AI-powered recruitment assistant with resume analysis, job assistance, chatbot support, and intelligent application workflows. Implemented LLM-based Generative AI features for automated email and cover letter generation using prompt engineering. Developed an AI mock interview module that generates role-specific interview questions to support candidate preparation. Built an AI chatbot for handling job-related queries and providing interactive career assistance.
Audio Assistance for Visually Impaired Teachers
February 1, 2026 – April 1, 2026
Developed a real-time AI assistance system using Computer Vision, Deep Learning, and image processing techniques. Implemented object detection, pose estimation, emotion recognition, and movement analysis using OpenCV, YOLO, and MediaPipe. Integrated AI models with Django to generate real-time audio feedback based on visual analysis.
View ProjectMachine Learning-Based Predictive Maintenance and Cost Estimation System
January 1, 2026 – February 1, 2026
Developed a predictive maintenance system using historical equipment data with preprocessing and feature engineering. Built classification models for failure prediction and regression models for cost estimation using Scikit-learn.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong interest in AI and ML through diverse personal projects, including an AI-powered recruitment assistant, audio assistance for the visually impaired, and predictive maintenance. This breadth of application suggests a curious and innovative mindset. The target role of 'Generative AI Engineer' aligns well with the candidate's stated interests and project focus on LLMs, prompt engineering, and agentic AI. The candidate's academic background (MCA and Bachelor of Mathematics) provides a solid theoretical foundation. The internship experience at Luminar Technolab further solidifies their practical exposure to industry-relevant AI/ML workflows. The candidate's profile indicates a strong drive for continuous learning and application in the AI domain, which is a good cultural fit for a dynamic tech environment.
Soft Skills & Operational Fit
The candidate's resume highlights 'Problem Solving, Analytical Thinking, Communication, Attention to Detail' as professional skills. The project descriptions indicate an ability to work on complex, multi-faceted AI systems, suggesting good problem-solving and analytical capabilities. The diversity of projects also implies adaptability and a proactive approach to learning and application. However, without direct assessment data for these soft skills, this remains an inference.