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AI Engineer with less than a year in Generative AI, Computer Vision & Full-Stack Systems.
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 Engineer specializing in Generative AI, Computer Vision, Deep Learning and Full-Stack Systems. Built production-ready AI solutions including virtual try-on systems, face recognition pipelines, automated portfolio generators, and AI-powered website builders with cloud deployment.
Gurugram University, Gurugram
Bachelor of Technology (B.Tech) · Computer Science & Engineering
August 1, 2022 – June 30, 2026
Aakash Public School, Gurugram
Senior Secondary (Class 12) · CBSE
N/A – Present
Matchbest Software
AI Engineer Intern
January 1, 2026 – May 1, 2026
India
Movenetics Digital
AI Engineer Intern
August 1, 2025 – November 1, 2025
India
SCJ Entertainments
Junior Website & App Developer
June 1, 2025 – July 1, 2025
India
Executed Data Analysis Projects
June 25, 2026 – Present
Performed EDA on Netflix and British Airways datasets using Python (Pandas, Matplotlib, Seaborn) and SQL/Power BI to extract business insights and visualize booking trends.
Parkinson's Disease Detection using Deep Learning
June 25, 2026 – Present
Collaborated in a team to analyze 40+ research papers, curated datasets, and applied DL models to classify Parkinson's from drawings and speech samples.
Real-time Computer Vision Projects
June 25, 2026 – Present
Developed Face Recognition with Age, Gender, Emotion Detection, and Drowsiness Detection systems using OpenCV and DeepFace, deployed with real-time webcam input.
Full-stack Development Projects
June 25, 2026 – Present
Built responsive web apps like News Daily, iNotebook, and OctaveFlow using React.js, integrating APIs and databases for dynamic content.
Machine Learning Specialization
Coursera (Stanford University & DeepLearning.AI)
June 1, 2026 – Present
Deep Learning with TensorFlow
Coursera
June 1, 2026 – Present
Data Analytics Virtual Internship
Forage (offered by KPMG)
June 1, 2026 – Present
Software Engineering Virtual Experience
JPMorgan Chase & Co.
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest in AI/ML, which aligns well with an AI Engineer role. The diversity of academic projects (data analysis, deep learning for medical applications, computer vision, full-stack development) and internships (virtual try-on, face recognition, website generation, chatbot) indicates a broad curiosity and adaptability. However, the experience level is 0, and all listed experiences are internships, suggesting a junior profile. While the projects are diverse, they are all academic or internship-based, which might indicate less exposure to large-scale, production-grade enterprise environments. The target role is 'AI Engineer', and the candidate's skills and projects are highly relevant, indicating a good fit for the technical aspects of the role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a collaborative approach (e.g., 'Collaborated in a team') and a focus on practical application. The English test score of 78 suggests good communication clarity. The psychometric test score is 0, which means there is no data to evaluate logical reasoning, work attitude, stress handling, or team collaboration, making it difficult to assess operational fit comprehensively.