Data Scientist & Machine Learning Engineer passionate about AI, deep learning, and open source contributions
Python Package to detect garbled, gibberish text for English language processing
LLM Agents Demo using Google ADK for building intelligent applications
Lane Detection using U-Net architecture for computer vision applications
Named Entity Recognition (NER) using BERT for natural language processing
College Counseling Agent built with AI and machine learning
Ranked 3rd out of 1,621 participants in multilingual toxic comment classification challenge
Ranked 6th out of 3,308 participants in medical image analysis for melanoma detection
Ranked 16th out of 3,943 participants in mobile ad fraud detection challenge
A comprehensive walkthrough of building a powerful multi-agent system with Google's Agent-Development-Kit (ADK) and Model-Context-Platform (MCP) for website crawling, address extraction, and geocoding applications.
Exploring how fine-tuning a pre-trained RoBERTa language model can significantly enhance NER performance on custom datasets, with practical implementation details and comprehensive results analysis.
Implementing advanced lane detection using U-Net architecture, covering data preprocessing, model training, and evaluation techniques for autonomous driving applications.
City Explorer: Discover Your City's Hidden Gems - A project focused on urban exploration and location-based recommendations.
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