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AI Engineer with less than a year in Machine Learning & Python
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Assessing your cultural and operational fit
Motivated AI/ML Engineer (Fresher) with strong foundations in Python, machine learning concepts, and AI development techniques. Hands-on experience in building and evaluating ML models using NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch. Knowledgeable in data preprocessing, feature engineering, supervised/unsupervised learning, and model evaluation metrics. Recently explored Large Language Models (LLMs), Hugging Face, Retrieval-Augmented Generation (RAG), and AI agent workflows. Passionate about applying ML for real-world use cases such as recommendation systems, anomaly detection, and process automation.
Chinmaya Institute of Technology, Kannur University
Master of Computer Applications (MCA)
August 1, 2023 – June 30, 2025
Govt. College Perigome, Kannur University
Bachelor of Science · Mathematics
August 1, 2020 – June 30, 2023
Govt. Higher Secondary School, Prapoyil
Higher Secondary Education
June 1, 2018 – May 31, 2020
Labmentrix
Machine learning engineer
November 1, 2025 – Present
Bengaluru, Karnataka, India
Nestsoft Technologies
Machine Learning Intern
August 1, 2025 – October 31, 2025
Cochin, Kerala, India
Labmentrix
Data Analyst Intern
June 1, 2025 – July 31, 2025
India
Online Mechanic Finder Website
June 28, 2026 – Present
Designed and deployed a full-stack web app with authentication, booking, and service search. Conducted model evaluation & validation for user-service recommendations.
Eye Disease Detection System
June 28, 2026 – Present
Developed a CNN deep learning model to classify early-stage eye diseases. Achieved 85%+ accuracy with dropout regularization and hyperparameter tuning. Designed a Flask-based interface for real-time predictions.
IPL Fantasy Team Prediction System
June 28, 2026 – Present
Built supervised ML models (Random Forest, CatBoost, XGBoost) to predict optimal fantasy teams. Applied feature engineering & SHAP explainability to optimize prediction accuracy (~80%). Automated team selection using linear programming optimization and deployed via Flask.
Netflix Movies & TV Shows Clustering
June 28, 2026 – Present
Performed EDA on 8,000+ titles to analyze global streaming trends. Implemented unsupervised learning (K-Means, TF-IDF features) for recommendation grouping. Visualized clusters using Matplotlib & Seaborn.
Internship as Data Analyst
Labmentrix
June 1, 2026 – Present
Python Full Stack Developer
Udemy
June 1, 2026 – Present
Internship in Machine Learning
Nestsoft Technologies
June 1, 2026 – Present
cyber security with AI
Internshala
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in diverse AI/ML applications, from sports prediction to medical image analysis and recommendation systems. The internships and current role as a Machine Learning Engineer at Labmentrix align well with the target role of an AI Engineer, indicating a clear career path and commitment to the field. The breadth of skills and tools used across projects suggests adaptability and a willingness to learn new technologies, which are positive indicators for cultural fit in a dynamic AI environment.
Soft Skills & Operational Fit
The candidate lists problem-solving, team collaboration, communication, and critical thinking as soft skills, which are essential for an AI Engineer role. The project descriptions indicate an ability to work through complex problems and deploy solutions. However, without direct interview data, the depth of these soft skills cannot be fully assessed.