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AI Engineer with less than a year in Machine Learning & Data Science
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated B.Tech Artificial Intelligence and Data Science student with strong practical skills in Python, Machine Learning, data analysis, and visualization using Power BI, Tableau, and Excel. Experienced in developing real-world AI/ML solutions through internships, projects, and hackathons, with a keen interest in contributing to data-driven and intelligent systems.
Ramco Institute of Technology
B.Tech · Artificial Intelligence & Data Science
August 1, 2023 – June 30, 2027
Abservetech Pvt. Ltd.
Flutter Developer Intern
June 1, 2025 – July 31, 2025
India
Anjana Infotech
Machine Learning Intern
January 1, 2025 – January 15, 2025
India
Image Caption Generator
January 1, 2025 – Present
Built a CNN-RNN-based deep learning model to generate descriptive captions for images by combining computer vision and natural language processing techniques. Trained and evaluated the model on image-text datasets, improving caption relevance through feature extraction and sequence modeling. Demonstrated cross-domain AI expertise and end-to-end ML pipeline implementation.
Fake News Detection System
January 1, 2025 – Present
Developed a Generative AI-powered solution to classify and verify news content credibility using NLP techniques. Preprocessed and analyzed text datasets to detect misinformation patterns and improve classification accuracy. Presented insights and outcomes during a national-level hackathon, emphasizing ethical AI and real-world impact.
Learn AI and Generative AI Basics
Microsoft
January 1, 2025 – Present
Explore Generative AI
Microsoft
January 1, 2025 – Present
MongoDB: Building AI Apps on AWS – Learning Badge Path
MongoDB
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse AI applications (computer vision, NLP, generative AI) and an awareness of ethical AI (Fake News Detection System). The certifications from Microsoft and MongoDB show a proactive approach to learning and staying current with industry trends, which aligns with a culture of continuous improvement. The internships, though short, indicate a willingness to gain practical experience. The overall profile suggests a motivated individual who could integrate well into a team focused on innovative AI solutions, provided there is mentorship for their early career stage.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration (hackathon presentation, team collaboration in internships) and problem-solving (improving caption relevance, detecting misinformation patterns). The academic background in AI & Data Science, coupled with relevant projects and certifications, suggests a strong interest and foundational fit for an AI Engineer role. However, the limited professional experience (short internships) means operational fit in a fast-paced, senior-level environment is yet to be fully proven.