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Software Engineer with 2+ years in Android, AI & Data Applications.
As an aspiring Software Engineer with 2.1 years of experience across internships in Android Reverse Engineering, Malware Analysis, and AR/VR development, I am passionate about crafting robust and secure applications. My expertise spans deep learning, computer vision, and GenAI projects, utilizing technologies like TensorFlow, Keras, OpenCV, and Firebase. I am adept at analyzing complex software, debugging vulnerabilities, and implementing collaborative features, constantly striving to improve software reliability and prediction quality.
Dwarkadas J. Sanghvi College of Engineering
B.Tech · Information Technology
August 1, 2023 – June 30, 2026
Thakur Polytechnic
Diploma · Information Technology
August 1, 2021 – June 30, 2023
VJTI CoE Lab
Android Reverse Engineering & Malware Analysis Intern
August 1, 2024 – May 1, 2026
Mumbai, Maharashtra, India
Vignesh Inc.
Android and AR/VR Intern
May 1, 2022 – July 1, 2022
Mumbai, Maharashtra, India
MediVision AI
June 1, 2026 – Present
Developed deep learning models for medical image classification and anomaly detection. Used TensorFlow, Keras, and OpenCV for image preprocessing, training, and evaluation. Applied computer vision techniques to improve prediction quality and diagnostic assistance.
View ProjectGenAI Project InsightIQ
June 1, 2026 – Present
Built a GenAI-powered educational assistant using Retrieval-Augmented Generation (RAG), semantic search, and large language models. Processed educational content to enable contextual question answering and personalized learning experiences. Designed prompt engineering workflows for content retrieval, note generation, and assessment creation.
View ProjectDiplomaNet Study Application
June 1, 2026 – Present
Developed an Android application providing educational resources, community collaboration, and AI-assisted learning support. Integrated Firebase Authentication, cloud services, and conversational AI capabilities. Implemented real-time collaboration features and an in-app Python coding environment.
View ProjectCultural Fit Analysis
The candidate's academic projects demonstrate initiative and a proactive approach to learning and applying new technologies, particularly in AI/ML. Participation in hackathons (Tech-A-Thon, TechFest) indicates a competitive spirit and ability to deliver under pressure. The diverse range of projects (medical AI, educational apps, GenAI assistant) suggests adaptability and a broad interest in different problem domains. The internship in Android Reverse Engineering shows a willingness to delve into security and low-level analysis, which could be a good fit for roles requiring deep technical investigation. However, the experience is primarily academic and internship-based, which might require mentorship in a fast-paced industry environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems and collaborate (e.g., 'community collaboration' in DiplomaNet). The internship at VJTI CoE Lab suggests an aptitude for detailed analysis and documentation. However, without direct assessment data, it's difficult to fully evaluate soft skills like stress handling, logical reasoning, or team collaboration.