Help & Supportcareers@gravityer.com
AI Engineer with less than a year in machine learning and deep learning applications.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and quick-learning Computer Engineering graduate with strong problem-solving abilities and keen attention to detail. Skilled in applying conceptual thinking and technical expertise to deliver effective solutions. Eager to contribute to team success while continuously learning and making a meaningful impact in the field of technology.
Kendriya Vidyalaya C.M.E., Pune
H.S.C
June 1, 2022 – May 31, 2024
Kendriya Vidyalaya C.M.E., Pune
S.S.C
June 1, 2020 – May 31, 2022
Modern Education Society's Wadia College of Engineering, Pune
Bachelor of Engineering · Computer Engineering
N/A – June 30, 2026
Gender and Age Detection using Transfer Learning
July 1, 2025 – June 1, 2026
Implemented transfer learning using VGG16 architecture to develop a deep learning model for accurate age and gender prediction from facial images. Utilized advanced data augmentation techniques and early stopping callbacks to prevent overfitting and ensure robust model training. Achieved significant accuracy rates, with 81.89% in natural light conditions and 81.63% in static backgrounds, demonstrating the model's efficacy in diverse environments.
Rice Analysis using Machine Learning
July 1, 2025 – June 1, 2026
Built a CNN-based model to classify 12 rice varieties and detect rice age (Old/New) using image data. Collected and preprocessed a custom dataset with 1000+ images per variety using OpenCV and TensorFlow. Integrated the model into an Android app using Kotlin and Jetpack Compose for real-time image inference.
Fake News Detection Using ML
July 1, 2025 – June 1, 2026
Conducted data cleaning and preprocessing on 'WELFake_Dataset.csv', including removing duplicates, handling missing values, and performing text preprocessing (lowercasing, URL/punctuation removal, stopword elimination, and lemmatization). Visualized data distributions, such as news labels, article lengths, and common word frequencies. Converted text data to numerical format using TF-IDF vectorization, and trained a Decision Tree classifier with performance tuning.
Automated CAPTCHA Solver with Deep Learning and OpenCV
July 1, 2025 – June 1, 2026
Developed a CAPTCHA-solving system using deep learning and OpenCV. Implemented a Convolutional Neural Network (CNN) for character recognition. Included image preprocessing, character segmentation, and model training for automated CAPTCHA decoding.
Cultural Fit Analysis
The candidate's projects are primarily academic and focused on AI/ML, which aligns well with an AI Engineer role. The diversity of projects (computer vision, NLP, mobile integration) indicates a broad interest within the AI domain. However, the lack of collaborative projects or professional experience makes it difficult to fully assess cultural fit regarding teamwork, mentorship, or navigating corporate environments.
Soft Skills & Operational Fit
The candidate's resume highlights motivation, quick-learning ability, strong problem-solving skills, and attention to detail. These traits suggest a good operational fit for a dynamic engineering environment. However, without specific behavioral assessment data or work experience, the depth of these soft skills in a professional setting is unconfirmed.