As a Machine Learning Engineer,Data Engineer,Data Scientist, and DevOps Specialist, I am dedicated to harnessing the power of AI and data-driven solutions to solve complex, real-world challenges. My expertise spans the entire machine learning lifecycle—from model development to deployment—while ensuring robust data engineering and cloud infrastructure support.
- Current Focus: Developing state-of-the-art deep learning models for Natural Language Processing (NLP) and computer vision applications.
- Continuous Learning: Engaging with advanced topics such as reinforcement learning and the latest advancements in AI technologies.
- Collaborative Spirit: Open to partnerships on projects that intersect machine learning, AI, and data engineering.
- Python, R, SQL, Java, C#, Groovy, VB, JavaScript,PHP
- Frameworks & Libraries:
- Machine Learning: scikit-learn, TensorFlow, PyTorch
- Data Science: Pandas, NumPy, SciPy, Statsmodels
- Deep Learning: Transformers (BERT, GPT), CNNs, RNNs, LSTMs,U-NET, RESTNET50
- Data Visualization: Matplotlib, Seaborn, Plotly
- Big Data Tools: Hadoop, Spark, Hive
- Cloud Platforms: AWS (SageMaker, EC2), GCP (AI Platform), Azure
- MLOps & Deployment: Docker, Kubernetes, CI/CD, MLflow ,AirFlow
- Databases: PostgreSQL, MySQL, MongoDB, Redis
Explore my key projects that exemplify my skills in machine learning, data engineering, and cloud solutions:
-
NLP with Transformers:
Developed advanced text classification models utilizing BERT, fine-tuning them on custom datasets for sentiment analysis and topic classification. -
Time Series Forecasting:
Designed robust forecasting models employing LSTM, ARIMA, and Prophet to predict stock prices, with comprehensive visualization and accuracy metrics. -
End-to-End Machine Learning Pipeline on AWS:
Engineered a scalable machine learning pipeline for customer churn prediction, utilizing AWS services, Docker, and CI/CD methodologies for efficient deployment. -
Real-Time Data Pipeline with Apache Kafka & Spark:
Architected a high-performance ETL pipeline for processing streaming log data using Apache Kafka and Spark, featuring real-time analytics dashboards.
I am eager to engage in meaningful conversations about innovative projects, ideas, and opportunities. Feel free to connect with me through the following platforms:
