Machine Learning Engineer passionate about building intelligent systems that solve real-world problems. I specialize in developing end-to-end ML solutions, from data preprocessing to model deployment and monitoring.
- π§ Deep Learning - Neural networks and advanced architectures
- ποΈ Computer Vision - Image processing and visual AI
- π£οΈ Natural Language Processing - Text analysis and language models
- π MLOps - Scalable ML pipeline development
- βοΈ Cloud ML - Deploying models at scale
Project | Description | Tech Stack | Status |
---|---|---|---|
π§ Neural Style Transfer | AI-powered artistic style transfer using deep learning | TensorFlow, OpenCV, Python | β Complete |
π Stock Price Predictor | LSTM-based time series forecasting model | PyTorch, Pandas, Streamlit | π§ In Progress |
π£οΈ Sentiment Analysis API | Real-time sentiment analysis for social media | BERT, FastAPI, Docker | β Complete |
ποΈ Object Detection System | Real-time object detection using YOLO | PyTorch, OpenCV, Flask | π§ In Progress |
- π€ Large Language Models (LLMs) - GPT, BERT, and Transformer architectures
- π¨ Generative AI - GANs, VAEs, and Diffusion Models
- π Reinforcement Learning - Deep Q-Networks and Policy Gradients
- π MLOps Best Practices - Model versioning, monitoring, and CI/CD
- βοΈ Edge AI - Deploying models on mobile and IoT devices
- π Deep Learning Specialization - Coursera

I'm always interested in collaborating on exciting ML projects, research opportunities, and innovative AI solutions. Let's build the future together!
Areas of Interest:
- π§ Deep Learning Research
- π€ AI Product Development
- π Data Science Consulting
- π ML Startup Ventures
- π Technical Writing & Mentoring
- π€ Machine Learning Architecture
- π Data Science Solutions
- π AI Product Strategy
- π Research Collaborations
- π― Career Opportunities
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