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Machine Learning Engineer | AI Enthusiast
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Passionate about developing intelligent systems and deploying real-world AI solutions. Experienced in building and deploying ML models for classification, NLP, and RAG-based search applications.
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User Experience Design - UI / UX
- Delight the user and make it work.
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Machine Learning & AI
+ Model development, evaluation, and optimization.
Build and optimize machine learning models for classification, regression, and clustering tasks. Includes data preprocessing, feature engineering, model selection, and performance evaluation using Scikit-learn, TensorFlow, and Keras.
Develop NLP applications such as sentiment analysis, emotion detection, and RAG-based question answering. Utilize transformer models, embeddings, and vector databases like FAISS or Chroma for accurate, context-aware results.
Comprehensive data exploration, cleaning, analysis, and visualization to uncover meaningful insights. Skilled in Pandas, NumPy, Matplotlib, and Seaborn for building interactive dashboards and reports. Capable of integrating statistical methods and machine learning to support data-driven business decisions.
Development of intelligent automation pipelines for workflow optimization, document processing, and personalized recommendations. Combine AI models with Python automation scripts, APIs, and database integration to improve operational efficiency, reduce manual work, and enhance productivity.
A full-stack web application built with Flask and SQLite to streamline student leave requests and approvals. Features include a user-friendly interface for students and staff, and automated PDF report generation using Python libraries for efficient record keeping.
SciQ-AI β Research Paper Understanding Assistant
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An intelligent assistant that uses a Retrieval-Augmented Generation (RAG) pipeline to help users understand academic research papers. Extracts and chunks PDF content, generates vector embeddings with language models, stores them in FAISS or Chroma, and retrieves the most relevant sections to provide simplified, context-aware explanations via an LLM.
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A deep learning-powered application that uses RNN models to classify emotions in real-time chat messages. Trained on labeled emotional datasets and implemented with a real-time classification pipeline using Python, TensorFlow/Keras, and NLP techniques.
A modern, ChatGPT-inspired conversational assistant built with Flask and Google Gemini AI, featuring a sleek, responsive interface. Includes real-time AI responses, elegant sidebar navigation, glassmorphism styling, typing indicators, and robust error handling β all wrapped in a fully responsive dark theme for an engaging user experience.
An e-commerce platform designed for aquarium products and accessories, offering a smooth and secure online shopping experience. Features include product browsing, detailed descriptions, a shopping cart, and checkout functionality, built with responsive design for both desktop and mobile users.
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Automation Scripts β Parkinsonβs Disease Prediction System
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A machine learning application that predicts Parkinsonβs disease from voice data using a Support Vector Machine (SVM) classifier. Features include audio feature extraction, high-accuracy classification, and deployment with an interactive Gradio interface for easy user interaction.
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+ Excited to share that I've successfully deployed a sentiment analysis model achieving 94% accuracy using BERT transformers. The model processes customer feedback in real-time! #MachineLearning #NLP #AI
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+ Built an automated data pipeline that reduced manual processing time by 80%! Using pandas, Apache Airflow, and PostgreSQL to streamline business operations. #Python #Automation #DataEngineering
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+ Completed Advanced Machine Learning Specialization! Always excited to learn new techniques in deep learning and neural networks. Next up: Transformer architectures! #LearningJourney #AI #MachineLearning
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+ Fascinating developments in Large Language Models! Working on implementing RAG (Retrieval-Augmented Generation) for enterprise knowledge bases. The possibilities are endless! #NLP #LLM #AI #Innovation
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+ Proud to contribute to the Python community! Recently submitted a PR to improve error handling in a popular ML library. Love giving back to the community that has given me so much! #OpenSource #Python #Community
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+ Introducing Nova AI β Your Next-Generation Web Assistant
+Iβm thrilled to share Nova AI, a modern, ChatGPT-inspired conversational assistant built with Flask, Google Gemini AI, and a clean, responsive interface.
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