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AI Engineer with less than a year in Machine Learning & Deep Learning.
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 Science and AI Engineer with strong foundations in Machine Learning, Deep Learning, and Natural Language Processing (NLP). Skilled in Python, data analysis, and AI model development using modern frameworks. Passionate about solving real-world problems through data-driven and intelligent solutions. Seeking an opportunity to apply analytical and technical skills in Data Science, Machine Learning, and AI-based projects.
Vignan's Foundation for Science, Technology and Research
B.Tech · Computer Science and Engineering (AI&ML)
August 1, 2021 – June 30, 2025
Vidya Vikas Junior College
Intermediate
June 1, 2019 – May 31, 2021
Sri Chaitanya High School
SSC
June 1, 2018 – May 31, 2019
Attendance Monitoring System using Facial Recognition
June 1, 2026 – Present
Developed a facial recognition-based attendance system using OpenCV and LBPH algorithm. Implemented real-time face detection using Haar Cascade and automated attendance storage using CSV files. Built a GUI-based application using Tkinter for attendance management.
Neural Style Transfer Application
June 1, 2026 – Present
Built a deep learning-based application for artistic image style transfer using VGG19. Developed an interactive interface using Streamlit for real-time image transformation.
Object Detection System
June 1, 2026 – Present
Developed an object detection model using YOLOv3 on the COCO dataset for real-time detection. Integrated image processing and detection visualization using OpenCV and Streamlit.
Certified in Python
HackerRank
June 1, 2026 – Present
Generative AI Workshop
Unknown
June 1, 2026 – Present
AWS Workshop
Unknown
June 1, 2026 – Present
Certified in Computer Vision
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and foundational skills in AI/ML, aligning well with an AI Engineer role. The diversity of projects (facial recognition, object detection, neural style transfer) shows a breadth of exposure within the AI domain. Participation in workshops (AWS, Generative AI) and coordinating university events suggests a proactive and engaged individual. However, the lack of professional experience limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's resume indicates participation in coordinating technical and cultural events, suggesting potential for teamwork and organizational skills. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills, logical reasoning, work attitude, stress handling, and team collaboration is not possible. The project descriptions are clear and concise, indicating good written communication.