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AI Engineer with less than a year in Machine Learning & Generative AI.
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 Data Scientist and AI Engineer with hands-on experience in Machine Learning, Deep Learning, NLP, Generative AI, and Data Analytics. Skilled in Python, SQL, TensorFlow, PyTorch, Scikit-Learn, LangChain, Hugging Face, and Vector Databases. Experienced in building predictive models, Retrieval-Augmented Generation (RAG) systems, computer vision applications, and forecasting solutions. Passionate about solving real-world business problems using AI and data-driven decision making.
Thejus Engineering College
Bachelor of Technology (B.Tech) · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Unknown
Secondary School Education (Class X)
N/A – Present
Little Flower CGHSS
Higher Secondary Education (Class XII) · Computer Science
N/A – Present
Quest Innovative Solutions
Data Science Intern
September 1, 2025 – Present
India
Enterprise Knowledge Assistant using Azure OpenAI and RAG
June 23, 2026 – Present
• Developed a Retrieval-Augmented Generation (RAG) system for document-based question answering. • Implemented document ingestion, embeddings, semantic search, and source citation pipelines. • Integrated Azure OpenAI, LangChain, and Qdrant Vector Database for context-aware responses.
Customer Churn Prediction Using Machine Learning
June 23, 2026 – Present
• Developed a customer churn prediction system using classification algorithms. • Performed data preprocessing, feature engineering, and exploratory data analysis. • Evaluated models using Accuracy, Precision, Recall, F1-Score, and ROC-AUC metrics.
AI Resume Screening and Candidate Ranking System
June 23, 2026 – Present
• Built an AI-powered resume screening system using NLP and Machine Learning for automated candidate evaluation. • Extracted skills from PDF resumes and matched candidates with job descriptions using semantic similarity. • Implemented ATS-based scoring and candidate ranking algorithms.
AI Enterprise Intelligence Platform
June 23, 2026 – Present
• Built an AI-powered analytics platform for business intelligence and decision support. • Performed data preprocessing, EDA, visualization, and predictive analytics using Machine Learning. • Developed interactive dashboards for KPI monitoring and business insights.
Cultural Fit Analysis
The candidate's academic projects and internship demonstrate a strong interest and foundational skill set in AI and data science, aligning well with an AI Engineer role. The diversity of projects (resume screening, knowledge assistant, enterprise intelligence, churn prediction) shows a broad application of AI techniques. However, all experience is academic or internship-based, which might indicate a need for more exposure to diverse corporate environments and team structures for a senior role. The candidate is still pursuing their Bachelor's degree, which might impact immediate cultural integration into a senior professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions and internship responsibilities indicate an ability to collaborate in teams and convert business requirements into AI-powered applications. The focus on practical application and problem-solving suggests a results-oriented approach. However, without specific behavioral assessment data, a deeper evaluation of soft skills like stress handling, leadership, or advanced communication in a team setting is not possible.