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AI Engineer with less than a year in Data Analysis & NLP, pursuing a Master's degree.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Passionate about learning new skills in the field of Artificial Intelligence and Machine Learning, and exploring diverse domains through research and real-world applications.
Vellore Institute of Technology
MSC Artificial Intelligence and Machine Leaning
August 1, 2025 – June 30, 2027
St.Teresas College
BSC Mathematics
August 1, 2020 – June 30, 2023
Crazy For Success Foundation
HR Talent Acquisition and Recruitment Support
November 1, 2025 – Present
India
Beyond the Bell Project (with MLA T.J. Vinod)
Mathematics Education Support and Curriculum Assistance
November 1, 2025 – Present
India
Audio Sorting and Searching with Emotion and Pitch
September 1, 2025 – November 1, 2025
Built an audio classification system to detect emotions and pitch from audio signals. Extracted key features such as FFT, RMS, and ZCR for effective signal processing. Implemented a Random Forest model for classification. Utilized AVL trees and hashing techniques for efficient data storage and retrieval.
AI-Based Screening and Career Path Recommendation System
August 1, 2025 – November 1, 2025
Developed an AI-based screening and career recommendation system using transformer-based NLP techniques. Leveraged the all-MiniLM-L6-v2 sentence transformer model for resume analysis and candidate-job matching. Improved evaluation efficiency by enabling automated and unbiased candidate assessment.
Certificate of Presentation for Intercollege Paper Presentation Competition on "Statistical Analysis on World Happiness Index"
Unknown
June 1, 2026 – Present
Project Management Certification
Udemy
June 1, 2026 – Present
Digital Marketing Certification
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including audio processing and NLP-based screening, shows a broad interest within AI/ML. The educational background in Mathematics and ongoing Master's in AI/ML aligns well with a research-oriented and technically driven culture. The internships, while not directly technical, demonstrate engagement and a willingness to learn, though their relevance to an AI Engineer role is limited. The granted patent further indicates an innovative mindset.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as active listening, teamwork, adaptability, communication, critical thinking, time management, and being a quick learner. These attributes suggest a good operational fit for collaborative and dynamic AI/ML development environments. The psychometric test score (342/500) indicates moderate logical reasoning and work attitude, which could be further explored.