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AI Engineer with less than a year in machine learning, deep learning, and full-stack development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Hands-on experience in developing and deploying machine learning models with Python, leveraging NumPy and Pandas for data preprocessing and analysis, Matplotlib for visualization, and PyTorch for deep learning model building and training. Skilled in applying supervised and unsupervised learning techniques, optimizing model performance, and integrating AI solutions into scalable applications.
Aurora's Technological and Research Institute
B.Tech · CSE
August 1, 2022 – June 30, 2026
Trinity Junior College
Intermediate
N/A – May 31, 2022
TSMS
10th Standard
N/A – May 31, 2020
Student FeedBack System
June 1, 2026 – Present
Developed an online student feedback system enabling secure registration, authentication, and multi-criteria campus evaluations. Built responsive UI with HTML, CSS, JavaScript. Implemented backend using Java Servlets, JSP, and JDBC for dynamic request handling and database connectivity. Configured a MySQL database to efficiently store user registration credentials and categorized feedback records. Collaborated in a team of 4 using GitHub for version control.
Kidney Tumor Detection
June 1, 2026 – Present
Built a web-based medical image analysis system using Django, HTML, CSS, JavaScript, and SQL. Applied machine learning and computer vision techniques for tumor detection. Used DenseNet120 and ResNet102 for feature extraction. Implemented SVM and Random Forest with weighted averaging for classification. Integrated fuzzy logic for image enhancement to improve accuracy. Deployed the application on Google Cloud Platform using Kubernetes for scalable container orchestration and high availability.
Python Coder Certificate
Kaggle
June 1, 2026 – Present
Java Certificate
HackerRank
June 1, 2026 – Present
SQL Certificate
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an ability to work in teams (Student Feedback System) and apply diverse technical skills to solve problems. The 'Kidney Tumor Detection' project shows initiative in applying advanced AI/ML techniques. The certifications in Python, Java, and SQL indicate a proactive approach to learning. However, the lack of professional experience limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate lists soft skills such as Logical Thinking and Debugging, Collaborative Teamwork, Adaptability and Continuous Learning, and Time Management. These indicate a foundational understanding of professional conduct and team dynamics, which are beneficial for operational fit. However, without practical experience or specific examples, the depth of these skills cannot be fully assessed.