AI Engineer with less than a year in Computer Science specializing in AI/ML and 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 and results-driven Computer Science student with a strong foundation in Artificial Intelligence, Machine Learning, and Android Development. Proven ability to build innovative applications and solutions, demonstrated through projects like an AI-powered DSA mentor, handwritten digit recognition model, and functional Android apps (GroceryCart, PayDone). Eager to leverage technical skills and problem-solving abilities in a dynamic and challenging environment.
Rajiv Gandhi Institute of Petroleum Technology
B.Tech. · Computer Science and Engineering
August 1, 2023 – June 30, 2027
DSA Mentor
July 1, 2023 – Present
Provides answers to DSA related questions. Powered by Gemini model with RAG technology.
View ProjectHandwritten Digit Recognition
July 1, 2023 – Present
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 ProjectGroceryCart
July 1, 2023 – Present
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 ProjectPayDone
July 1, 2023 – Present
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 ProjectPublished 2 apps on Google Play Store (PayDone, GroceryCart)
Google Play Store
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interests, from AI/ML to mobile application development. The 'DSA Mentor' project aligns well with an AI Engineer role, showcasing an interest in large language models and RAG technology. The 'Handwritten Digit Recognition' project further reinforces an interest in machine learning. The publication of two apps indicates a proactive and results-oriented mindset. However, all projects are academic, and there is no professional experience, which limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to develop user-friendly interfaces and integrate various functionalities, suggesting a focus on user experience and practical application. The publication of apps on Google Play Store demonstrates initiative and project completion. However, without direct assessment data, specific soft skills like teamwork, problem-solving under pressure, or communication clarity in a professional setting cannot be definitively evaluated.