I'm an AI/ML engineer and research-oriented systems builder focused on multimodal AI, vision-language models, agentic systems, and production ML infrastructure.
My work spans surgical scene segmentation, zero-shot VLM evaluation, LLM reliability, MLOps pipelines, and applied machine learning systems.
- Vision-language models for surgical segmentation
- Prompt-based and zero-shot segmentation evaluation
- Agentic AI systems and LLM reliability
- MLOps pipelines with cloud-native deployment
- Applied ML projects with production-style dashboards
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VLM Surgical Segmentation Research
Evaluation frameworks for zero-shot and prompt-based surgical segmentation. -
Uncertainty Quantification for Code Translation
Research work involving LLM reliability, compiler feedback, and evaluation. -
MLOps Recommender Pipeline
End-to-end ML pipeline using feature engineering, orchestration, deployment, and monitoring concepts. -
Customer Analytics & Segmentation Dashboard
RFM analysis, clustering, churn modeling, and Streamlit dashboarding.
Languages: Python, SQL, R, C++, JavaScript
ML/AI: PyTorch, TensorFlow, scikit-learn, Hugging Face, OpenCV
Data/MLOps: Spark, Airflow, MLflow, Docker, FastAPI, Streamlit
Cloud: Google Cloud, Vertex AI, AWS basics
Analytics: Power BI, Tableau, Excel
