Help & Supportcareers@gravityer.com
AI Engineer with less than a year 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
Motivated B.Tech IT student (2022-2026) with hands-on experience in AI, ML, and full-stack development. Proficient in Python, Java, and JavaScript, with practical expertise in building AI-based applications like a CCTV anomaly detection system and an AI personal assistant. Skilled at developing responsive web apps and integrating ML models into real-world use cases. Passionate about problem-solving, automation, and emerging technologies.
Hindustan College of Science & Technology, A.K.T.U
B.Tech · Information Technology
August 1, 2022 – June 30, 2026
M.D. Jain Inter College
XIIth · U.P Board
June 1, 2021 – May 31, 2022
Dolly Public Inter College
Xth · U.P Board
June 1, 2019 – May 31, 2020
EduSkills Foundation
AI-ML Virtual Internship
June 1, 2025 – September 1, 2025
India
CCTV Anomaly Detection & Notification System
June 27, 2026 – Present
Real-time surveillance with object detection (people, animals, vehicles, weapons). Automated email alerts for anomalies. Tech Stack: Python, OpenCV, TensorFlow, SMTP.
View ProjectPersonal Portfolio Website
June 27, 2026 – Present
Responsive React + Tailwind portfolio showcasing projects, GitHub/LeetCode graphs, chatbot integration, and resume download. Tech Stack: React.js, Tailwind CSS, GitHub API.
Machine Learning with Python
FreeCodeCamp
June 1, 2026 – Present
AI and ML Project Development
EduSkills
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects (CCTV Anomaly Detection, Personal Portfolio) and internship experience (AI-ML Virtual Internship) demonstrate a strong interest and foundational experience in AI/ML, aligning well with an 'AI Engineer' target role. The breadth of skills, including both AI/ML and web development, indicates versatility. Participation in extracurricular activities suggests a well-rounded individual. However, the experience is primarily academic and internship-based, which might require more structured mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate lists 'Strong Problem-Solving & Logical Thinking', 'Time & Team Management', and 'Communication & Leadership Skills' as strengths. Participation in AI/ML workshops and seminars, along with debate club membership, suggests an interest in continuous learning and collaborative environments. The internship experience also highlights exposure to collaborative workflows.