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Generative AI Engineer with less than a year in Python, ML, and DL.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented graduate with a strong foundation in programming and problem-solving. Passionate about building a career in the software field with hands-on experience in Python, Machine learning and Deep learning. Eager to contribute to a dynamic and growth-oriented organization.
APJ Abdul Kalam Technological University, India
Bachelor of Technology · Computer Science and Engineering
August 1, 2021 – June 30, 2025
RP2-Rounded Professional Program
Data Science and Gen AI Professional
August 1, 2025 – December 1, 2025
Kozhikode, Kerala, India
Edunet Foundation
Data Analyst
February 1, 2024 – April 1, 2024
India
Forest Fire and Smoke Detection Using Mobilenet Architecture
January 1, 2025 – June 1, 2025
• Developed a real-time fire and smoke detection model using MobileNet for high-speed and accurate detection on edge devices. • Optimized the deep learning pipeline to achieve low latency and high precision, improving safety and early warning capabilities. • Utilized TensorFlow, OpenCV, and Python for model training, image preprocessing, and deployment in real-time scenarios..
Customer Churn Prediction Web App
January 1, 2025 – June 1, 2025
• Built an end-to-end churn prediction system using Random Forest Classifier. • Improved churn detection recall through hyperparameter tuning and feature selection. • Deployed model as an interactive Streamlit web application for real-time inference. • Designed user-friendly UI for business stakeholders to analyze churn probability. • Achieved ROC-AUC score of 0.91.
Novel Deep Learning Method for Credit Card Fraud Detection
January 1, 2025 – June 1, 2025
• Implemented a credit card fraud detection system integrating Quantum-behaved Particle Swarm Optimization (QPSO) for enhanced classifier performance • Applied advanced data preprocessing and machine learning algorithms to handle imbalanced datasets and improve detection accuracy. • Evaluated model performance using key metrics such as precision, recall, F1-score, and ROC-AUC to ensure robust fraud detection.
Artificial Intelligence With Python Workshop-IIT Kharagpur
IIT Kharagpur
June 1, 2026 – Present
Cyber Security Course-Deloitte
Deloitte
June 1, 2026 – Present
NPTL Online Certification Course-Python For Data Science
NPTL
June 1, 2026 – Present
Python 101 for Data Science- IBM Skills Build
IBM Skills Build
June 1, 2026 – Present
Figma Design Workshop - IEDC RIT
IEDC RIT
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to applying theoretical knowledge to practical problems, which aligns with an innovative and results-oriented culture. The 'Data Science and Gen AI Professional' role, even if short-term, indicates an interest in continuous learning and professional development in the AI space. The diversity of projects (computer vision, fraud detection, churn prediction) shows adaptability and a broad interest in different AI applications. However, the lack of extensive professional experience means cultural fit is largely inferred from academic and short-term engagements.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, time management, fast learner, adaptability, and communication as soft skills. These are valuable for an AI Engineer role, indicating a potential for effective collaboration and independent work. However, without specific examples or interview data, the depth of these skills cannot be fully assessed.