AI Engineer with less than a year in Android Development, Machine Learning & Data Analytics
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Assessing your cultural and operational fit
Highly motivated and results-oriented intern with 4 months of experience in developing full-stack Android applications, optimizing machine learning architectures for critical tasks like kidney stone detection, and building web applications for corporate workforce management. Proficient in Python, Kotlin, JavaScript, and experienced with frameworks like FastAPI, NumPy, and Jetpack Compose. Demonstrated ability to deliver high-quality solutions, identify bottlenecks, and enhance operational efficiency through predictive analytics and robust software development.
Sahyadri College of Engineering and Management
B.E. · Computer Science and Engineering (CSE)
August 1, 2022 – Present
Mindmatrix
Intern
February 1, 2026 – May 1, 2026
India
Optimized YOLOv8 Architecture for Enhanced Kidney Stone Detection in CT Scans
June 23, 2026 – Present
Developed a multi-model kidney stone detection and classification system combining YOLOv8, CNN, and ResNet architectures, achieving high accuracy and optimal performance. Identified data pipeline bottlenecks when evaluating the model against diverse, real-world CT scans, noting that high image variability requires extensive preprocessing prior to model ingestion.
Prediction and Optimization of Dish Specific Demand in Restaurants Using Machine Learning
June 23, 2026 – Present
Developed a machine learning solution to forecast dish-specific demand in restaurants, reducing food waste and improving inventory management. Optimized ingredient procurement and enhanced operational efficiency through predictive analytics.
Corporate Workforce Management
June 23, 2026 – Present
Developed a web application to manage corporate workforce data using Node.js and MySQL integration. Implemented dynamic data entry, retrieval, and custom SQL query execution for reporting and analysis.
Deloitte Australia Data Analytics Job Simulation on Forage
Forage
August 1, 2025 – Present
Deloitte Australia Technology Job Simulation on Forage
Forage
August 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from AI/ML applications to mobile and web development, indicates a broad interest in technology and adaptability. The focus on practical applications (reducing food waste, kidney stone detection, artisan support) suggests a results-oriented and potentially impact-driven individual. The target role of 'AI Engineer' aligns well with the candidate's project portfolio, particularly the deep learning and machine learning projects. The breadth of skills across different domains (AI, mobile, web) suggests a willingness to learn and contribute to various aspects of a project, which can be a positive cultural fit for dynamic teams.
Soft Skills & Operational Fit
The candidate demonstrates initiative through personal projects and job simulations. The description of the Android app project highlights an understanding of architectural patterns (MVVM) and reactive state management, suggesting an organized approach to software development. The ability to identify data pipeline bottlenecks in the YOLOv8 project indicates a problem-solving mindset. However, without direct interview data, assessing stress handling, team collaboration, and communication clarity in a professional setting is limited.