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AI Engineer with less than a year in Android Development and Web Technologies.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A passionate Bachelor of Technology student in Computer Science and Engineering, expected to graduate in May 2026. I possess a strong foundation in Python, C++, Java, and JavaScript, coupled with practical experience in frameworks like React, Node.js, Flask, and TensorFlow. My academic journey includes impactful internships in Artificial Intelligence & Machine Learning, Cloud Security, and Networking, allowing me to develop and deploy projects such as a Discreet Emergency Alert Application and a responsive Cake Bakery Website. I am adept at data structures, algorithms, object-oriented programming, and driven by a high CGPA of 8.6/10, complemented by significant achievements like solving 300+ LeetCode problems.
Prof Ram Meghe College Of Engineering And Management
Bachelor of Technology · Computer Science and Engineering
N/A – June 30, 2026
Discreet Emergency Alert Application
June 27, 2026 – Present
Developed an Android application that enables users to send emergency alerts through discreet gestures, sharing real-time location, SMS alerts, and audio recordings for quick assistance. Technologies Used: Kotlin, Android Studio, SQLite/Room Database, Google Location API, Android SMS Manager, MediaRecorder API
Cake Bakery Website
June 27, 2026 – Present
Designed and developed a responsive bakery website to showcase products and enhance user experience. Implemented product gallery, navigation, and contact form using HTML, CSS, and JavaScript. Focused on clean UI design and mobile-friendly layout to improve accessibility and usability
Face Recoginition System
June 27, 2026 – Present
-Used OpenCV for image capture and preprocessing (grayscale conversion, resizing, and frame detection). Achieved 95% accuracy on test images by fine-tuning face distance thresholds and lighting normalization.
Cultural Fit Analysis
The candidate shows a strong inclination towards learning and practical application through various personal projects and virtual internships. The diversity of projects (web development, mobile app, AI/ML, networking) indicates a broad interest in technology. The target role of AI Engineer aligns with their AI/ML internship and Face Recognition project, suggesting a genuine interest in the field. Their participation in a hackathon and competitive programming platforms also points to a proactive and driven individual, which generally fits well within innovative tech cultures.
Soft Skills & Operational Fit
The candidate demonstrates good communication skills through project descriptions and internship presentations. Leadership and time management are noted, with experience leading a 4-member team using Agile. These soft skills are beneficial for collaborative engineering environments. However, the candidate is still early in their career, and practical experience in a professional team setting is limited.