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Generative AI Engineer with less than a year in ML, NLP, and Python.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Generative AI Engineer with hands-on experience in building machine learning and NLP-based projects using Python and Scikit-learn. Skilled in data preprocessing, prompt engineering, and model evaluation. Interested in developing AI-powered applications using LLMs and modern generative AI technologies.
Quba College of Engineering and Technology
Bachelor of Technology · Computer Science and Engineering
August 1, 2022 – June 30, 2025
Govt Institute of Ceramic Technology
Diploma · Ceramic Engineering
June 1, 2018 – December 1, 2021
zp high school
Central Board Of Secondary Education
June 1, 2017 – May 31, 2018
SkillDzire
Artificial Intelligence Intern
October 1, 2025 – December 1, 2025
India
E-Commerce Purchase Intention Model
June 1, 2026 – Present
Developed a machine learning model to predict customer purchase intention in an e-commerce platform. Performed data preprocessing and feature engineering to enhance data quality and model performance. Applied multiple classification algorithms and evaluated models using ROC-AUC to select the best performer. Improved prediction accuracy, enabling better targeted marketing and increased sales conversion.
Fake Job Posting Detection
June 1, 2026 – Present
Built an NLP-based classification model to detect fraudulent job postings. Processed and transformed textual data using TF-IDF vectorization. Applied Logistic Regression to classify fake and real job listings. Evaluated model performance using precision, recall, and accuracy to improve detection reliability.
Cloud Computing
NPTL
June 1, 2026 – Present
Data Science & AI
NPTL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in practical applications of machine learning (e-commerce, fraud detection). The objective aligns with a Generative AI Engineer role, showing ambition and a desire to learn new technologies. The breadth of skills listed (ML, DL, NLP, Generative AI, LLMs) indicates a willingness to explore diverse areas within AI. However, the experience level is very junior, which might require significant mentorship and ramp-up time in a senior-level team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work through the machine learning pipeline from data preprocessing to model evaluation. The objective statement suggests a proactive interest in emerging AI technologies. However, without specific psychometric or English test scores, it is difficult to assess communication clarity, logical reasoning, work attitude, stress handling, or team collaboration beyond what is inferred from the resume's presentation.