Forward-thinking Python Developer with specialized expertise in Odoo ERP development, AI/ML, and Automation. Proven track record of building scalable intelligent systems, from unsupervised image clustering engines to complex enterprise business logic. Dedicated to bridging the gap between cutting-edge AI research and practical business applications.
Python (Expert), Flask, Node.js, React 19, Streamlit, PyTorch, Scikit-learn
PostgreSQL, Supabase, Odoo API, Git, Docker, PCA, CNN (ResNet), OpenCV
Odoo ERP Customization, NLP, Computer Vision, Business Intelligence Automation
Agile Methodology, Technical Leadership, Analytical Problem Solving
Designed and developed a premium employee management system with React 19 and Supabase. Features real-time attendance tracking with IP-based security, automated leave management, an integrated Kanban task board, and real-time chat with RBAC (Role-Based Access Control).
Developed an HR analytics platform using the IBM dataset to predict employee turnover. Evaluated Logistic Regression, Decision Trees, and Random Forest models using stratified sampling and feature scaling to handle class imbalances.
Developed a semantic Q&A chatbot using Flask and Sentence Transformers (all-MiniLM-L6-v2). Features intelligent matching via cosine similarity and a dynamic self-learning mechanism that permanently saves new knowledge from user interactions.
Built a classification system using Bagging and AdaBoost ensembles, SVM, and Naive Bayes. Achieved stable results through 5-fold cross-validation and rigorous feature engineering on the Titanic passenger dataset.
Built an unsupervised learning engine using ResNet18 and K-Means to semantically group large image datasets. Features PCA-based visualization and real-time content-based image search via Streamlit.
Developed a robust multi-portal system for tracking employee metrics, managing logs, and automating report generation for HR departments.