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AI Engineer with 1+ years in Android App Development & Machine Learning
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Highly motivated Android App Developer with 1.4 years of experience specializing in AI/ML integration and scalable mobile solutions. Proficient in Kotlin, Java, and C/C++, with a strong background in MVVM architecture, Jetpack Compose, and Firebase. Demonstrated ability to optimize app performance, reduce crash rates, and build robust features, including payment gateways and AI-powered recommendation systems. Eager to leverage expertise in app development and artificial intelligence to create impactful user experiences.
GGSIPU East Campus, New Delhi
B.Tech. in Artificial Intelligence and Data Science · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
VVSIC, Jahanabad, Fatehpur, UP
12th Grade
N/A – Present
Modgenics Technology Solutions
Android App Developer
July 1, 2025 – Present
Noida, Uttar Pradesh, India
Vitto Money
Android App Developer, Intern
February 1, 2025 – June 30, 2025
Gurgaon, Haryana, India
LIBRARY BEE
June 27, 2026 – Present
Library management system with real-time seat booking, AI-driven book recommendations, and push notifications. Delivered a seat booking system handling 100+ concurrent reservations with a 95% utilization rate and zero double-bookings since launch. Trained and shipped a TensorFlow Lite recommendation model at 92% accuracy, surfacing personalized suggestions to every active user. Configured targeted FCM push notifications, lifting admin announcement engagement by 78% over in-app banners. Authored a subscription management microservice to automate membership tier handling and renewals. Furnished Light/Dark theme support across the full UI.
View ProjectINTERVIEW AI
June 27, 2026 – Present
AI-powered Android app for technical interview prep with real-time speech recognition, personalized feedback, and progress analytics. Leveraged Gemini AI to auto-generate category-wise questions across 5+ domains at 3 difficulty levels, yielding 50+ unique questions per session. Designed a resume parsing pipeline that extracts skills, experience, and projects in <2 seconds to produce questions. Wired HuggingFace NLP models into a live answer-scoring engine that grades across 4 dimensions (Confidence, Grammar, Relevance, Keyword Coverage) with per-answer AI feedback. Provisioned a Spring Boot backend with JWT auth, PostgreSQL persistence, and REST APIs. Rolled out multi-language support, Light/Dark themes, and speech-to-text input for hands-free practice.
View ProjectCultural Fit Analysis
The candidate's project diversity, including an AI interview prep app and a library management system with AI features, shows a broad interest in applying AI solutions to various domains. The experience in both Android development and backend services, coupled with AI/ML skills, aligns well with the multifaceted nature of an AI Engineer role. The candidate's academic background in AI and Data Science further strengthens the cultural fit for an AI-focused organization.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through debugging and optimization efforts. Collaboration is evident from working with cross-functional teams and managing branch workflows. The detailed project descriptions suggest good communication of technical achievements. The candidate's proactive approach to personal projects and continuous learning indicates a strong work ethic and self-motivation.