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AI Engineer with less than a year in Machine Learning, NLP, and Computer Vision.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven AI & Data Science graduate with hands-on experience in Machine Learning, NLP, and Computer Vision. Skilled in Python, SQL, TensorFlow, and PyTorch with proven ability to build, deploy, and optimize ML models. Strong experience in data analysis, feature engineering, and end-to-end AI pipeline development. Seeking entry-level roles in Data Science, Machine Learning, or AI Engineering.
Sphoorthy Engineering College
B.Tech · Data Science
August 1, 2022 – June 30, 2026
Sri Gayatri Junior College
Intermediate · MPC
June 1, 2020 – May 31, 2022
St. Mary's Vidyanikethan High School
SSC
June 1, 2018 – May 31, 2020
Smart Vision AI Labs
Computer Vision Intern
March 1, 2026 – June 1, 2026
India
Zidio Development Pvt Ltd
Data Science Intern
December 1, 2025 – March 1, 2026
India
Coapps Pvt Ltd
AI Intern
September 1, 2025 – December 1, 2025
India
Smart Factory Defect Detection
June 1, 2026 – Present
Computer Vision
AI Pipeline Engineering
Unknown
June 1, 2026 – Present
Python Programming Certification
Unknown
June 1, 2026 – Present
AWS Data Analytics Fundamentals
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has engaged in diverse AI/ML projects and internships covering Computer Vision, NLP, and general Data Science, which aligns well with an AI Engineer role. The academic project 'Smart Factory Defect Detection' and internships at 'Smart Vision AI Labs', 'Zidio Development Pvt Ltd', and 'Coapps Pvt Ltd' show a breadth of exposure to different AI applications and industry contexts. This diversity suggests adaptability and a willingness to explore various facets of AI, which is a positive indicator for cultural fit in a dynamic AI engineering environment. However, all experience is at an intern level, indicating a need for mentorship and structured team integration.
Soft Skills & Operational Fit
The candidate's resume indicates a results-driven attitude and a focus on improving accuracy and efficiency in their internship roles. The project diversity suggests an ability to adapt to different problem domains within AI. However, without specific psychometric or English test scores, it is difficult to assess communication clarity, logical reasoning, work attitude, stress handling, or team collaboration directly. The descriptions are concise, which is good for a resume, but do not provide enough detail to infer advanced soft skills.