I am an AI/ML Engineer with 5+ years of experience specializing in designing and deploying robust machine learning and Generative AI pipelines. My focus is on productionizing AI models for high-stakes environments, specifically across finance, healthcare, and enterprise analytics.
I specialize in MLOps, distributed computing, and cloud-native solutions to transform prototypes into scalable, business-critical applications.
| Category | Key Technologies | Specialized Areas |
|---|---|---|
| MLOps & AI Infra | MLflow · FastAPI · Docker · Kubernetes (AKS) · GitHub Actions |
End-to-end ML Model Lifecycle Management. |
| Big Data & Pipelines | PySpark · Apache Spark · Airflow · Apache Kafka · Delta Lake |
High-volume data ingestion, custom ETL, and workflow orchestration. |
| AI/ML/GenAI | PyTorch · Transformers · scikit-learn · LangChain |
RAG-based LLMs, NLP, Computer Vision, Time-Series Modeling. |
| Cloud | Azure Databricks · Azure ML · Azure Ecosystem |
Production deployment and infrastructure scaling. |
