Building intelligent, production-ready AI systems with real-world impact.
I’m a Computer Science Engineering graduate pursuing advanced studies in
Data Science & Analytics with Applied AI.
I specialize in designing and deploying end-to-end machine learning systems —
from computer vision and predictive analytics to Generative AI agents and RAG pipelines.
I focus on production-ready solutions, scalability, and measurable business impact.
- Deep Learning: TensorFlow, PyTorch, CNNs, LSTM architectures
- Classical ML: Scikit-learn, ensemble models, hyperparameter optimization
- Generative AI: OpenAI API, LangChain, RAG pipelines, AI agents
- Computer Vision: Object detection, image classification, automated annotation
- Data Processing: ETL pipelines, feature engineering, large-scale analysis (500K+ rows)
- Databases: SQL, data quality optimization, complex queries
- Visualization: Power BI, Matplotlib, Seaborn
- Cloud Platforms: AWS (EC2, Lambda, SageMaker), Snowflake (basics)
- Languages: Python, SQL
- Backend: FastAPI, Flask, RESTful APIs
- Tools: Git/GitHub, Streamlit, Jupyter Notebook
- Practices: Modular architecture, production deployment, documentation
- GitHub: https://github.com/Bhupendra-DS
- LinkedIn: www.linkedin.com/in/bhupendra-singh-shekhawat-3791372a5
- Email: bhupendrashekhawat2322@gmail.com
- Portfolio: portfolio-web-app-azure.vercel.app