Machine Learning & Data Science
AI & Analytics Portfolio
Computer Vision (Autonomous Systems / AR/VR / Robotics)
Self-Driving Vision Module
Advanced computer vision system for autonomous vehicle navigation and safety. Implements real-time lane detection, object tracking, and collision prediction using deep convolutional neural networks and sensor fusion techniques.
Medical Imaging AI
Deep learning system for automated medical image analysis and diagnosis assistance. Employs U-Net architecture for precise tumor segmentation, lesion detection, and abnormality classification across multiple imaging modalities including CT, MRI, and X-ray.
Probabilistic ML (Healthcare / Finance / Climate)
Bayesian Radiology Model
Probabilistic deep learning framework for radiological diagnosis with uncertainty quantification. Implements Bayesian neural networks to provide confidence intervals for chest X-ray classification, enabling risk-aware clinical decision support and identifying cases requiring expert review.
Generative Time-Series Foundation Model
State-of-the-art generative model for time series forecasting and simulation using Diffusion Models and Transformers. Targets energy, finance, and climate applications with capabilities beyond traditional ARIMA/LSTM, implementing architectures like TimeGPT and Chronos for realistic future sequence generation.
Quantitative Research / ML (Finance & Trading)
RL Trading Bot
Deep reinforcement learning trading system implementing Deep Q-Networks (DQN) with experience replay. Features comprehensive backtesting framework, real-time execution capabilities, and adaptive strategy optimization for algorithmic trading applications.
AI Architecture / ML Engineering
Multimodal AI System (Vision + Text + Audio)
Unified multimodal model integrating CLIP for vision-language understanding and Whisper for speech processing. Enables cross-modal classification, question-answering, and content generation across visual, textual, and audio inputs.
Biomedical Sensing
Wearable Health Monitor
Multi-sensor fusion system with predictive health analytics for edge computing applications. Combines accelerometer, gyroscope, heart rate, and environmental sensors for comprehensive health monitoring and early warning systems.
Data Science (Applied)
Customer Churn Prediction with Explainability
Comprehensive churn prediction system using XGBoost with SHAP (SHapley Additive exPlanations) for interpretable machine learning. Provides actionable insights and feature importance analysis for customer retention strategies.
Real-Time Fraud Detection Pipeline
High-performance fraud detection system using Kafka for real-time data streaming, Apache Spark for distributed processing, and ensemble machine learning models for high-accuracy anomaly detection in financial transactions.
Climate & Energy Demand Forecasting Dashboard
Interactive forecasting dashboard combining Prophet for seasonal decomposition and LSTM networks for long-term predictions. Analyzes climate data and energy consumption patterns with real-time visualization capabilities.