My Projects

Innovative AI Solutions That Drive Real-World Impact

High Performance

Real-Time Analytics Pipeline

Data Streaming for Logistics Operations

Real-time data streaming system processing 500GB daily for logistics operations. Delivers low-latency analytics with event processing, enabling better decision-making across supply chain operations and fleet management systems.

Key Features

  • Real-time Stream Processing (500GB/day)
  • Complex Event Processing & Analytics
  • Columnar Database Optimization
  • Sub-second Query Performance
  • Auto-scaling Infrastructure
  • Intelligent Alert & Anomaly Detection

Technology Stack

Apache Kafka Apache Flink ClickHouse Python Docker Kubernetes Prometheus Grafana
2hr→5min Latency Reduction
£2.5M Annual Savings
500GB Daily Processing
Production System

Computer Vision Quality Control

AI-Powered Manufacturing Defect Detection System

Computer vision system for automated defect detection in manufacturing production lines. Utilizes deep learning models to identify quality issues, helping reduce waste and improve production efficiency in manufacturing.

Key Features

  • Real-time Visual Inspection & Analysis
  • Custom YOLO Model Implementation
  • Defect Classification & Grading
  • High-Speed Processing Pipeline
  • Production Line Integration
  • Quality Analytics Dashboard

Technology Stack

PyTorch OpenCV YOLO FastAPI Redis PostgreSQL Docker NVIDIA CUDA
82% Accuracy
15% Defect Reduction
£850K Annual Savings
Banking Solution

Fraud Detection System

Real-time Financial Fraud Prevention Platform

ML-powered anomaly detection system for financial fraud prevention. Processes thousands of transactions daily, utilizing ensemble methods and pattern analytics to identify potentially fraudulent activities for financial institutions.

Key Features

  • Real-time Transaction Monitoring
  • Ensemble ML Anomaly Detection
  • Graph-based Pattern Analysis
  • Intelligent Alert System
  • Behavioral Analytics Engine
  • Multi-layer Risk Scoring

Technology Stack

Python XGBoost Apache Spark Elasticsearch Docker Apache Kafka Redis Prometheus
£1.2M Fraud Prevented
85% Accuracy
<500ms Latency
Research Project

Advanced Spam Detection

98% Accuracy Ensemble ML System

Spam detection system using ensemble learning techniques. Combines multiple algorithms including Random Forest and XGBoost to achieve 89% accuracy in spam classification with balanced performance.

Key Features

  • Ensemble Learning Architecture
  • Advanced Feature Engineering
  • 89% Detection Accuracy
  • Real-time Processing
  • Multi-language Support
  • Continuous Learning Pipeline

Technology Stack

Python Scikit-learn XGBoost TensorFlow NLTK SpaCy Pandas Jupyter
89% Accuracy
3.5% False Positive Rate
250ms Avg Response Time
In Development

Financial Fraud Detection

Real-time Anomaly Detection for Banking

Fraud detection system using machine learning and anomaly detection algorithms. Processes transaction data to identify potentially fraudulent patterns, helping financial institutions reduce losses from fraudulent activities.

Key Features

  • Real-time Transaction Monitoring
  • Deep Learning Anomaly Detection
  • Graph-based Pattern Analysis
  • Intelligent Alert System
  • Historical Pattern Learning
  • Multi-layer Security Validation

Technology Stack

Python PyTorch Apache Kafka Apache Spark Elasticsearch Redis Prometheus Grafana
5K TPS
78% Detection Rate
<300ms Latency
Production

Customer Intelligence Platform

AI-Driven Customer Segmentation & Insights

Sophisticated customer segmentation platform using unsupervised learning to identify customer personas, predict lifetime value, and optimize marketing strategies. Processes behavioral, transactional, and demographic data for actionable insights.

Key Features

  • Dynamic Customer Segmentation
  • Lifetime Value Prediction
  • Churn Prediction & Prevention
  • Personalization Engine
  • Real-time Segment Updates
  • Marketing Platform Integration

Technology Stack

Python K-Means DBSCAN PCA PySpark Airflow Tableau AWS
50K+ Customers
12% Revenue Lift
Real-time Insights
Enterprise

Supply Chain AI Optimizer

Predictive Analytics for Supply Chain Excellence

End-to-end supply chain optimization platform using machine learning to predict demand, optimize inventory levels, and reduce operational costs. Integrates with existing ERP systems to provide actionable insights and automated decision-making.

Key Features

  • Demand Forecasting
  • Inventory Optimization
  • Route Optimization
  • Risk Assessment
  • Automated Replenishment
  • Performance Analytics

Technology Stack

Python Prophet ARIMA OR-Tools PostgreSQL Apache Airflow Power BI Azure
18% Cost Reduction
75% Forecast Accuracy
22% Efficiency Gain

Have a Project in Mind?

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