
AI Developer with experience building LLM-based automation systems and exploring machine learning techniques for intelligent decision-making. Skilled in Python, API integration, workflow automation, and system optimization. Strong understanding of model evaluation, prompt engineering, and scalable AI architecture design. Focused on delivering practical AI solutions that enhance efficiency and operational performance.
Programming & Tools: Python, R, Jupyter Notebook, Flask, FastAPI, Git
Libraries & Frameworks: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, Plotly, TensorFlow, PyTorch, Hugging Face Transformers
Machine Learning & AI: Regression, Classification, Clustering, Time-Series Forecasting, ARIMA, Prophet, LSTM, NLP, Anomaly Detection, Fraud Detection, Predictive Analytics
Model Deployment & MLOps: Amazon SageMaker, Azure Machine Learning, MLflow, Docker, Kubernetes, CI/CD Pipelines, Model Monitoring
Databases: SQL, PostgreSQL, MySQL, SQL Server
Data Engineering & ETL: ETL Pipelines, Data Wrangling, Feature Engineering, PySpark, Apache Airflow, AWS S3, Azure Data Lake
Statistical Analysis: Hypothesis Testing, A/B Testing, Statistical Modeling
Data Visualization: Tableau, Excel (Pivot, Power Query), PlotlyCollaboration & Methodologies: Agile/Scrum Collaboration
AI & Growth Operations Intern (Certification Program) SparkIIT (Powered by Wipro DICE ID)
AI & Growth Operations Intern (Certification Program) SparkIIT (Powered by Wipro DICE ID)