I'm a Machine Learning Engineer with a passion for building intelligent systems that solve real-world problems. I specialize in designing, training, and deploying ML models that are not just accurate—but scalable, adaptable, efficient, and production-ready. I’m looking to collaborate on open-source ML projects, AI for social good, and anything that blends data with impact.
- 🧠 Machine Learning & Deep Learning: From classical models to neural networks, I build solutions using Scikit-Learn, TensorFlow, PyTorch, and more.
- 🛠 MLOps & Deployment: I love turning prototypes into production—using FastAPI, Docker, MLflow, and CI/CD pipelines (Github Actions and Jenkins).
- 📊 Data Engineering: Skilled in SQL, data wrangling, and feature engineering to make raw data usable and powerful.
- 🔍 Experimentation & Optimization: I iterate fast, tune hard, and always keep performance metrics in sight.
- 🧬 Generative AI & LLMs
- ⚙️ Advanced MLOps workflows
- 🧩 Multi-modal learning and model interpretability
- HotelReservationCancellation – ML-powered prediction tool for Hotels
- PhishingData – Prediction tool for companies to detect Phishing websites in real time
- TextSummarizer – Finetuned a pretrained model for summarization task
“The best way to predict the future is to invent it.” – Alan Kay
Thanks for stopping by! Feel free to explore my repos, open issues, or reach out for collaboration.