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AI Engineer with less than a year in Machine Learning & Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech Computer Science graduate skilled in Python, Machine Learning, and Data Science, with hands on experience developing end to end predictive models using real world datasets. Proficient in data preprocessing, feature engineering, and model evaluation. Interested in building efficient AI systems, working with scalable data workflows, and contributing to the evaluation and improvement of advanced machine learning models.
Sree Narayana Guru College of Engineering and Technology, Kerala
B.Tech · Computer Science & Engineering
August 1, 2021 – June 30, 2025
Luminar Technolab
Data Science Intern
June 1, 2025 – February 1, 2026
Cochin, Kerala, India
Secure and Privacy Preserving E Government Framework using Blockchain
June 23, 2026 – Present
• Designed a decentralized blockchain architecture enabling secure, tamper proof citizen data management. • Developed smart contracts with role based access control and integrated encryption for data privacy. • Proposed a scalable solution for digital identity and automated verification.
Alzheimer's Disease Detection using Deep Learning
June 23, 2026 – Present
• Built a CNN based model to classify Alzheimer's stages from MRI images with optimized preprocessing. • Improved performance using transfer learning, augmentation, and hyperparameter tuning. • Evaluated multi class classification results using accuracy, F1 score, and confusion matrix.
Employee Attrition Prediction System
June 23, 2026 – Present
• Performed complete ML preprocessing including missing value handling, label encoding, feature scaling, and class balancing using SMOTE. • Tuned multiple ML models and selected Random Forest for highest accuracy. • Developed a Streamlit interface for employee attrition prediction, improving HR efficiency by 20%.
Cultural Fit Analysis
The candidate's projects demonstrate a breadth of interest, from HR analytics to medical imaging and blockchain, indicating adaptability. The personal projects suggest initiative and self-driven learning. However, the experience is primarily academic and internship-based, and the target role of 'AI Engineer' requires a deeper dive into scalable AI systems and production environments, which is not extensively covered in the current profile. The blockchain project, while technically interesting, is less aligned with a pure AI Engineer role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end ML projects, from data preprocessing to model deployment. The focus on improving HR efficiency and classifying medical images suggests a problem-solving mindset. However, without specific assessment data on soft skills, a detailed operational fit analysis is limited.