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Full Stack Engineer with less than a year in JavaScript, Python & Java, specializing in AI/ML applic
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
As a highly adaptable and detail-oriented individual, I bring hands-on experience in full-stack development, Java backend engineering, and a strong foundation in data science. My expertise spans Python, SQL, and various ML frameworks, with a proven ability to contribute to complex projects from credit scoring systems to network security solutions.
Sathyabama Institute of Science and Technology
Master of Science · Data Science
August 1, 2023 – June 30, 2025
Maher University
Bachelor of Science · Computer Science
August 1, 2020 – June 30, 2023
Hepday Enterprises
JAVA Intern
September 1, 2024 – October 1, 2024
Chennai, Tamil Nadu, India
Eagle Software India Private Limited
Full-stack Development Intern
February 1, 2024 – March 1, 2024
Chennai, Tamil Nadu, India
Intelligent Credit Scoring and Loan Approval System
June 1, 2026 – Present
Develop a machine learning classification model (e.g. Logistic Regression, Random Forest, or a Neural Network) to predict the probability of a loan default.
AI-Powered Customer Churn Prediction and Management
June 1, 2026 – Present
Develop a microservice that exposes the Python ML prediction via an API.
Real-Time Product Recommendation Engine API
June 1, 2026 – Present
Store all purchase/rating history data required to train and run the recommendation model.
Intelligent Document Classification and Tagging System
June 1, 2026 – Present
Use NLP techniques to train a multi-class text classification model to automatically categorize uploaded documents.
AI-Driven Healthcare Disease Prediction Portal
June 1, 2026 – Present
Implement a secured REST API for users to submit their health metrics.
Enhancing Network Security decision-making ACGAN-powered Machine Learning for unbalanced data in Network Attacks
June 1, 2026 – Present
Demonstrated the potential of ACGANs for improving real-world intrusion detection systems, with a focus on data augmentation to support more robust security decision-making.
IOT using Raspberry PI
June 1, 2026 – Present
Developed a novel machine learning approach for enhanced brain tumor detection in medical imaging, leveraging the ResNext deep learning architecture to achieve improved accuracy.
Using Netflix data to master Power BI
Coding Ninjas
June 1, 2026 – Present
Machine Learning Onramp
MATLAB
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Data Science and Computer Science, coupled with diverse academic projects spanning ML, AI, and web development, suggests a strong learning orientation and intellectual curiosity. The internships, though short, show an interest in applying learned skills in a professional setting. This breadth of interest could contribute positively to a team that values continuous learning and cross-functional understanding. However, the lack of collaborative project details or team-based achievements makes it difficult to fully assess cultural fit beyond a general willingness to learn and engage with technology.
Soft Skills & Operational Fit
The candidate lists 'Adaptability, Decision-making, Rapport Building, Learning Attribute' as soft skills. While these are valuable, there is no assessment data to validate their proficiency. The project descriptions indicate an ability to work on diverse technical challenges, suggesting adaptability. The academic nature of projects and short internship durations mean operational fit in a fast-paced, senior engineering environment is unproven.