Computer Science Undergraduate (BPUT GIFT Autonomous College '27) building .
Handwritten land document OCR pipeline + multi-spectral satellite imagery segmentation for tribal land rights.
CNN image classification pipeline trained on medical image datasets using PyTorch & TensorFlow.
Zero-framework vanilla JavaScript exchange rate calculator with real-time API state updates.
Next-generation web application architecture featuring intelligent API integration and responsive glassmorphic design.
Categorized stack with verified experience and hands-on project implementation.
Production code, applied machine learning systems, and full-stack software prototypes.
An AI-powered decision support system developed for India's Forest Rights Act. Combines optical character recognition (OCR) for handwritten community land titles with satellite deep learning to map village assets.
Convolutional neural network (CNN) image classifier designed for detecting cancerous anomalies in medical imaging sets using PyTorch & TensorFlow with custom data augmentation filters.
Real-time financial utility featuring immediate currency conversion leveraging external exchange rate APIs. Developed in modular vanilla JavaScript with zero external dependencies.
Trained and deployed convolutional neural network classifiers using TensorFlow, PyTorch, and scikit-learn. Validated preprocessing filters and evaluated model metrics on computer vision datasets.
Mastered responsive UI architecture, grid styling, and validation frameworks. Built multi-page web layouts using HTML5, CSS3, Bootstrap, and JavaScript, securing cross-device compatibility.
Core coursework in algorithm design, data structures, neural network theory, database architecture, and software engineering principles. Active hackathon developer.
Interactive estimate of Santosh's engineering throughput and project scale capabilities.
Efficiency multiplier 3.8x · Build velocity 99.4%