
Software Engineer with less than a year in AI, Machine Learning & Android 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
Highly motivated Computer Science and Engineering student pursuing a B.Tech. with a strong foundation in Data Structures, Algorithms, Machine Learning, and Android Development. Proven ability to build and deploy applications, including an online grocery shopping app and a handwritten digit recognition model. Eager to apply technical skills and problem-solving abilities to contribute to innovative software development projects.
Rajiv Gandhi Institute of Petroleum Technology
B.Tech. · Computer Science and Engineering
August 1, 2023 – June 30, 2027
GroceryCart
June 1, 2023 – June 1, 2026
Online grocery shopping app. Developed a user-friendly shopping interface, improving navigation efficiency by 30%. Integrated secure payments and flexible delivery options, improving user convenience.
View ProjectHandwritten Digit Recognition
June 1, 2023 – June 1, 2026
Machine learning model for recognizing handwritten digits from images. Built a digit classification model using the MNIST dataset, achieving high prediction accuracy. Implemented data preprocessing, model training, and performance evaluation using confusion matrix and accuracy metrics. Visualized handwritten digit predictions and classification results for better model interpretability.
View ProjectPayDone
June 1, 2023 – June 1, 2026
Real time audio confirmation of online payments just like soundbox. Built a soundbox-like system providing instant audio alerts for 100. Designed a user-friendly UI featuring transaction history and offline/online support. Enabled background processing and audio alerts in silent mode, improving reliability by 40%.
View ProjectCultural Fit Analysis
The candidate's academic projects and personal initiatives demonstrate a proactive learning attitude and a willingness to explore different technical domains (mobile, AI/ML, DSA). The diversity of projects, including both academic and personal ventures, suggests a self-starter mentality. However, as a student with no professional experience, the cultural fit in a corporate environment is largely unproven. The target role of 'Software Engineer' aligns well with the candidate's project focus on development.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on diverse technical challenges, from mobile application development to machine learning and AI-powered tools. The publication of apps indicates a drive for completion and real-world impact. However, without direct work experience or psychometric test results, it is difficult to assess specific soft skills like teamwork, communication in a professional setting, or stress handling.