I’m a Results-Driven Data Scientist & AI Engineer with 3+ years of experience in building data-driven, scalable, and intelligent solutions.
I specialize in Machine Learning, NLP, Generative AI, and Data Engineering, with strong expertise in Python, SQL, Cloud (AWS), and modern AI frameworks.
- 🌍 Based in Karnataka, India
- ✉️ Reach me at Shubhamuchagaonkar@gmail.com
- 🧠 Currently exploring GenAI Integration, LangChain/LangGraph, LangSmith, and LLM fine-tuning
- 🤝 Open to collaborating on AI/ML, Data Engineering, Backend, and GenAI projects
- Data Science & ML: Statistical analysis, ML/DL (CNN, RNN), NLP, optimization algorithms
- Generative AI: RAG pipelines, LLM fine-tuning, Hugging Face, LangChain, LangGraph, LangFlow, LangSmith, GenAI API integrations
- MLOps & Monitoring: Model deployment, monitoring, CI/CD, LangSmith, experiment tracking, performance evaluation
- Data Engineering: ETL, Apache Airflow, Kafka, PySpark, dbt, AWS Glue, Kinesis
- Visualization & Analytics: Power BI, Tableau, Excel, DAX, Power Query
- Web & Backend: Python, Flask, FastAPI, SQL/NoSQL databases
- Cloud & Big Data: AWS SageMaker, Redshift, RDS, EMR, Athena, Lambda, EC2, CloudFormation
Languages:
Python (NumPy, Pandas, Matplotlib, Seaborn), SQL, PySpark, DAX
Frameworks & Tools:
PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, LangFlow, LangSmith, Flask, Kafka, dbt
Databases:
MySQL, Microsoft SQL Server, MongoDB, DynamoDB
Cloud (AWS):
SageMaker, Redshift, Glue, Kinesis, Lambda, RDS, EC2, EMR, Athena, QuickSight
Visualization:
Power BI, Tableau
MLOps & Monitoring:
Model Deployment, Monitoring, CI/CD, AWS ML Services, LangSmith, Experiment Tracking
Other:
Git, DevOps, No-Code Development, Motion UI Design
💡 Passionate about leveraging AI, data, and cloud to solve real-world problems, while building scalable, intelligent, and impactful solutions.
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