AI Engineer with less than a year in AI/ML & Mobile Development.
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Assessing your cultural and operational fit
Highly motivated and results-oriented Bachelor of Engineering student specializing in Computer Science and Engineering, with 7 months of internship experience. Possessing a strong foundation in machine learning, generative AI, and mobile application development, demonstrated through practical projects like an AI-enabled price optimization system and an Android school development platform. Proficient in languages such as Python, Java, Kotlin, and skilled in frameworks like React and Jetpack Compose, aiming to leverage technical expertise for impactful contributions in the AI/ML domain.
The Oxford College of Engineering, Bengaluru
Bachelor of Engineering (B.E.) · Computer Science and Engineering
May 1, 2022 – May 1, 2026
MindMatrix
Application Developer Intern
February 1, 2026 – May 1, 2026
Bengaluru, Karnataka, India
Infosys
AI Intern
September 1, 2025 – November 1, 2025
Bengaluru, Karnataka, India
Shaale-Vikas
September 1, 2025 – June 1, 2026
Developed an Android application using Kotlin, Jetpack Compose, and Firebase to bridge schools and alumni through a transparent school development platform. Implemented features such as a Needs Dashboard, progress tracking, donor recognition, and before/after impact visualization to improve community engagement and support school infrastructure development.
View ProjectAI ChatBot
September 1, 2025 – June 1, 2026
Leveraged the versatility of React.js to create a dynamic and responsive user interface with parallax animations. Seamlessly integrated React Router DOM to enable effortless navigation across different sections of the application. Leveraged the Gemini API to infuse the chat application with cutting-edge artificial intelligence functionalities.
Disaster-Resilient Mesh Network with AI Load Balancing
September 1, 2025 – June 1, 2026
Developed a decentralized communication system using Wi-Fi Direct to maintain connectivity during network failures. Implemented AI-based load balancing to optimize routing paths and reduce network congestion.
Breast Cancer Detection
September 1, 2025 – June 1, 2026
Developed a breast cancer detection machine learning-based system to classify tumors as benign or malignant using medical datasets. Applied data preprocessing and model optimization techniques to improve prediction accuracy.
Principles of Generative AI Certification
Infosys Springboard
June 1, 2026 – Present
OpenAI Generative Pre-trained Transformer 3 (GPT-3) for developers
Infosys Springboard
June 1, 2026 – Present
Deep Learning for Developers
Infosys Springboard
June 1, 2026 – Present
Artificial Intelligence Primer Certification
Infosys Springboard
June 1, 2026 – Present
Generative models for Developers
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest in AI and related fields, aligning well with an AI Engineer role. The diversity of personal projects (Android app, AI Chatbot, Mesh Network, Cancer Detection) indicates a proactive and curious mindset. The certifications further demonstrate a commitment to continuous learning and staying updated with emerging AI technologies. The candidate's academic background in Computer Science and Engineering also provides a solid foundation.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges, from mobile app development to AI-driven systems. The internship experiences suggest an understanding of structured development environments. However, without direct assessment data on soft skills, it's difficult to fully evaluate operational fit beyond technical contributions.