Projects & Portfolio

Here are some of the projects I’ve worked on that showcase my skills in AI, machine learning, and data engineering. Each project demonstrates different aspects of building end-to-end data systems.

Featured Projects

AI-Powered Analytics Platform

A comprehensive analytics platform leveraging machine learning for predictive insights and automated decision-making.

Technologies: Python, TensorFlow, AWS, Docker, PostgreSQL
Key Features:

Real-time data processing and analysis
Custom ML models for forecasting
Interactive dashboards and visualizations
RESTful API for model serving

Cloud-Native Data Pipeline

An end-to-end data pipeline built on cloud infrastructure for processing large-scale datasets.

Technologies: Apache Spark, Airflow, AWS S3, Kubernetes
Key Features:

Scalable data ingestion from multiple sources
Automated data quality checks
Incremental processing and optimization
Monitoring and alerting

Risk-Based ML Model Framework

A framework for developing and deploying machine learning models with built-in risk assessment and bias mitigation.

Technologies: Python, Scikit-learn, MLflow, FastAPI
Key Features:

Automated bias detection
Model explainability tools
A/B testing capabilities
Comprehensive model monitoring

NLP Document Analysis System

An intelligent document processing system using natural language processing for automated information extraction.

Technologies: Python, spaCy, BERT, Redis, MongoDB
Key Features:

Named entity recognition
Document classification
Semantic search
Batch and real-time processing

Open Source Contributions

I actively contribute to the open-source community. Check out my GitHub profile to see my latest contributions and personal projects.

Interested in Collaboration?

I’m always looking for interesting projects to work on. If you have an idea or want to discuss a potential collaboration, feel free to get in touch.