- 🎓 Pursuing a Master of Science in Artificial Intelligence at the Rochester Institute of Technology.
- 🔬 Specializing in predictive models, scalable ML workflows, and NLP systems.
- 💻 Core Stack: Python, Advance SQL + Pandas, PyTorch, PySpark, MLOps and production-grade RAG & Agentic systems.
- Research Data Scientist @ RIT CLaSP Lab: Supported a $2M NSF-funded research program, processing 200+ hours of audio and achieving a 0.87 F1-score in text classification.
- Data Scientist @ CUTSO LLP: Designed an anomaly detection framework reducing monthly loss avoidance by $23K and built interactive dashboards for 120+ clients.
- Associate Data Scientist @ actyv.ai: Built and deployed an end-to-end XGBoost credit risk model on AWS, improving the ROC-AUC metric by 8%.
| Domain | Technologies |
|---|---|
| Languages & Databases | Python C++ SQL PostgreSQL MySQL |
| Applied AI | Hugging Face Transformers RAG Prompt Engineering Fine-tuning LangChain LangGraph LlamaIndex FAISS Vector DB (Pinecone, Weaviate) |
| Machine Learning & Stats | Scikit-learn PyTorch Regression Classification Clustering Feature Engineering Model Evaluation |
| Data Engineering & MLOps | PySpark Apache Airflow Docker Flask FastAPI MLflow DVC ONNX Runtime Git Hopsworks |
| Cloud & Infrastructure | Linux AWS EC2 AWS SageMaker AWS S3 AWS Lambda Amazon Redshift Azure File Storage |
| Data Analysis & Viz | Pandas NumPy Matplotlib Tableau Power BI Hypothesis Testing A/B Testing |
- Best Presentation Award: AWARE-AI Spring 2026 Hackathon for a physiologically-aware multimodal AI interface.
- Academic Scholarship: 80% tuition scholarship at RIT.