🚀 AI/ML Student | 💻 Data Science Enthusiast | 🌍 Passionate about AI-driven Solutions
🎓 M.Tech in Artificial Intelligence and Machine Learning – VIT Vellore (2024 - Present)
🎓 B.E in Computer Science & Engineering – Loyola-ICAM College of Engineering & Technology (2020 - 2024)
💡 Passionate about Machine Learning, Deep Learning, and AI-driven solutions
🔬 Currently working on ESC-Net: SAR Image Colorization using CNN & Transformers
🏆 Hackathon Winner & AI Researcher
🔹 ML/DL Frameworks: TensorFlow, PyTorch, Scikit-Learn
🔹 Deep Learning Models: CNN, VGG16, Transformers, BERT, GPT-3.5
🔹 GenAI & LLMs: FLAN, Transformers, BERT, GPT
🔹 Big Data Tools: Apache Spark, Hadoop
🔹 NoSQL: MongoDB, Firebase
🔹 Backend: Node.js, Express.js
📌 Implementing CNN + Transformer for SAR-to-Optical Image Translation
📌 Using CycleGAN, Edge-Aware Loss, and Histogram Equalization for better results
📌 Built a secure blockchain-based voting system
📌 Integrated AI-based facial recognition for authentication
📌 Developed a multilingual chatbot for smart farming solutions
📌 Integrated weather forecasting & crop recommendation systems
📌 Created a secure election system using MongoDB, Express.js, React, Node.js
📌 Implemented real-time vote counting
📌 Built a customer log sentiment analysis system
📌 Used Sentence Transformers, OCR (PyTesseract), and Keycloak authentication
🏅 Winner – Idea Presentation, Praestantia 2023 (Sairam Institute of Technology)
📌 Proposed StockistAI, a hybrid stock trend forecasting model using LSTM & SVM
📌 Organizer – Hackathon "Hackwarts", Xplore 2023 Symposium
🎯 Led and managed a college-level hackathon with 100+ participants
🏆 Winner – Innovathon 2020 (LICET Science & Humanities Dept.)
📌 Developed DigiPass, a Flutter-based digital bus pass with QR authentication
🏆 Ashok Leyland Hackathon Finalist – IntelliRoute
📌 Pitched an AI-powered energy management system for EVs, optimizing charging times
✅ Google Cloud Skills Boost – Data Analyst Path (Ongoing)
📧 Email: sharonashik20@gmail.com
📌 GitHub:
📌 LinkedIn:
📌 Portfolio:
