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AI Engineer with less than a year in Machine Learning and Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI and Machine Learning graduate with hands-on experience in Python, SQL, machine learning, and data analysis. Experienced in developing predictive models, performing exploratory data analysis, and building data-driven solutions. Actively learning Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agent frameworks. Seeking opportunities to contribute to real-world AI applications and cloud-based AI solutions.
Sri Venkateswara College of Engineering
B.Tech · Computer Science Engineering (AI & ML)
August 1, 2021 – June 30, 2025
ExcelR (AICTE Approved)
Artificial Intelligence & Machine Learning Intern
May 1, 2024 – July 31, 2024
India
Malicious URL Detection using Machine Learning Techniques
November 1, 2024 – April 30, 2025
Processed and analyzed 5,436 URL samples for malicious URL classification. Performed data cleaning, feature extraction, and exploratory data analysis using Python. Applied machine learning algorithms including Logistic Regression, Random Forest, and SVM. Evaluated model performance using Accuracy, Precision, Recall, and F1-Score metrics. Developed a predictive system for identifying phishing and malicious websites. Utilized SQL for data querying and analysis. Documented project findings and model evaluation results.
Data Science Training
Innomatics Research Labs
June 1, 2026 – Present
AI – DevOps Engineer Certification
Skill India / NSDC (PMKVY)
June 1, 2026 – Present
Artificial Intelligence & Machine Learning Internship
ExcelR
May 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background in Computer Science Engineering (AI & ML) and their internship/project experiences are well-aligned with an AI Engineer role. Their stated interest in contributing to real-world AI applications and cloud-based AI solutions, combined with active learning in Generative AI and LLMs, indicates a strong cultural fit for an innovative and growth-oriented AI team. The diversity of projects (fraud detection, URL detection) shows adaptability to different problem domains within AI.
Soft Skills & Operational Fit
The candidate has demonstrated collaboration skills during their internship and project work. Their ability to document project methodologies and results indicates good communication and organizational skills. The pursuit of certifications in AI/ML and Data Science suggests a proactive learning attitude and commitment to the field.