🔭 I’m currently interning as a Machine Learning Intern at Wisedocs
🌱 I’m learning advanced computer vision, LLM reasoning optimization, and cloud-native architectures
📝 I’m researching AVM segmentation with U-Net and optimizing LLM-based reasoning via Tree-of-Thought methods
💬 Ask me about AI/ML, Computer Vision, LLMs, and Data Engineering
⚡ Fun fact: I ran 5K in under 25 minutes and have played soccer for 10+ years!
| Languages | ML / CV / NLP | DevOps / Cloud | Data / DB |
|---|---|---|---|
| Python, C++, SQL, VBA | PyTorch, TensorFlow, scikit-learn, MONAI, U-Net | Docker, Kubernetes, AWS (S3, Lambda, DynamoDB, Rekognition), GCP | Snowflake, PostgreSQL, ETL Pipelines, S3 |
- 2D U-Net segmentation for AVM and brain tumor detection from MRI/CT slices, achieving >80% accuracy on 1,000+ de-identified medical images
- Real-time TTC bus delay prediction using River’s ADWIN and Adaptive Random Forest; ROC-AUC >0.75 on 100k+ historical and streaming data
- Serverless photo-sharing app built with AWS Lambda, API Gateway, and DynamoDB, featuring Rekognition-based face filtering and event-driven media visibility
Last updated: 2025-07-27