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AI Engineer with 1+ years in Machine Learning & Full Stack Development
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/ML and Full Stack Developer with strong hands-on experience in building data-driven web applications and intelligent systems. Skilled in Python, React, Flask, FastAPI, and Machine Learning with proven expertise in NLP, Computer Vision, and RAG-based solutions. Experienced in developing ATS platforms, face recognition systems, and real-time analytics dashboards.
Suresh Gyan Vihar University
Bachelor of Technology · Computer Science (AI & ML)
August 1, 2022 – June 30, 2026
Pt. J. L. N. Sr. Sec. School
Senior Secondary (I.Sc.)
June 1, 2020 – May 31, 2022
Nexus Jobs. Ltd.
AIML & Full Stack Developer Intern
September 1, 2025 – December 31, 2025
India
Celebal Technologies
Data Science Intern
June 1, 2025 – August 31, 2025
India
NetParam Technologies Pvt. Ltd.
Data Science Intern
January 1, 2025 – July 31, 2025
India
Intern Attendance & Monitoring System
August 1, 2025 – October 31, 2025
• Built a web-based intern tracking platform with login, break tracking, and working hour monitoring. • Implemented automated late detection, face verification, and email alert systems.
Face Recognition System with Emotion Tracking
January 1, 2025 – May 31, 2025
• Built a real-time attendance system with face recognition and emotion tracking achieving 94% accuracy. • Integrated MongoDB database, SMTP email alerts, and responsive UI using React, TypeScript, and Tailwind CSS.
View ProjectAI Mental Health Analyzer
October 1, 2024 – November 30, 2024
• Built an AI-based mental health analysis system achieving 92% sentiment classification accuracy. • Detected stress, anxiety, and depression indicators from user input with 89% precision. • Improved model performance by 35% through TF-IDF vectorization and hyperparameter tuning.
Cultural Fit Analysis
The candidate's project diversity (face recognition, mental health analysis, RAG systems, ATS) and experience across different internship roles (AIML & Full Stack, Data Science) indicate a broad interest and willingness to explore various facets of AI and software development. This breadth of skills and project types suggests a good potential for cultural fit in a dynamic AI engineering environment that values continuous learning and versatile contributions. The focus on practical, problem-solving applications aligns well with typical industry demands.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying AI/ML concepts through personal projects and internships. The ability to work on diverse projects, from full-stack development to data science, suggests adaptability. However, without specific psychometric test results, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration directly.