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
Final-year B.Tech Computer Science (AI & ML) student at SRM Institute of Science and Technology with a strong academic record (CGPA 8.93/10). Experienced in building machine learning models and data science solutions across healthcare, agriculture, and cybersecurity domains. Published 2 research papers in machine learning and data science.
SRM Institute of Science and Technology
B.Tech · Computer Science and Engineering (AI & ML)
August 1, 2021 – June 30, 2025
Sri Vijay Vidyalaya
Higher Secondary Certificate (HSLC)
June 1, 2020 – May 31, 2021
Sri Vijay Vidyalaya
Secondary School Leaving Certificate (SSLC)
June 1, 2018 – May 31, 2019
Retech Solutions Pvt. Ltd.
AI Intern
March 1, 2024 – April 1, 2024
India
Breast Cancer Prediction using Machine Learning
June 21, 2026 – Present
Built a predictive classification model for early breast cancer diagnosis using clinical datasets. Applied data preprocessing, feature selection, and cross-validation to optimize model accuracy. Evaluated multiple ML algorithms (Logistic Regression, SVM, Random Forest) and selected the best-performing model.
AI-Powered Cyber Intrusion Detection System
June 21, 2026 – Present
Designed and developed a real-time network intrusion detection system leveraging AI and machine learning. Built a web application interface to visualize threat analysis and alert on anomalous network behaviour. Improved detection accuracy through feature engineering and ensemble classification techniques.
Crop Recommendation System using AutoGluon (Precision Farming)
June 21, 2026 – Present
Developed an ML-based crop recommendation system using the AutoGluon automated machine learning library. Processed and analyzed agricultural datasets (soil, climate, nutrient parameters) to generate accurate crop suggestions. Demonstrated practical application of AutoML for precision farming and sustainable agriculture.
Comparing AdaBoost, LightGBM, and CatBoost in Alzheimer's Disease Classification: A Comprehensive Analysis
Unknown
June 1, 2026 – Present
Innovative Machine Learning Applications in Precision Farming for Enhanced Crop Recommendations using AutoGluon Library
Unknown
June 1, 2026 – Present
The Data Science Course
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying AI/ML in diverse fields, which aligns with an innovative and growth-oriented culture. The focus on practical applications (e.g., precision farming, intrusion detection) shows a results-driven mindset. However, the lack of non-academic projects or extracurricular activities makes it difficult to fully assess broader cultural fit aspects like teamwork in diverse settings or leadership potential.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems and apply various ML techniques. The publication of research papers suggests strong analytical and problem-solving skills. However, the short duration of the internship and lack of detailed descriptions limit the assessment of operational fit and collaboration skills. The candidate is a final-year student, so practical experience in a professional setting is limited.