I am an AI/ML Engineer with 5.5+ 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.
I specialize in MLOps, distributed computing, and cloud-native solutions to transform prototypes into scalable, business-critical applications.
| Category | Key Technologies | Specialized Areas | Projects |
|---|---|---|---|
| MLOps & AI Infra | FastAPI · Docker · MLflow . GitHub Actions |
End-to-end ML Model Lifecycle Management. | • AgenticAI-Microservice • NLP-Microservice-Streamlit |
| Big Data & Pipelines | PySpark · Apache Spark · Airflow · Delta Lake |
High-volume data ingestion, custom ETL, and workflow orchestration. | • NLP-Finance-Forecast |
| AI/ML/GenAI | PyTorch · Transformers · scikit-learn · LangChain |
RAG-based LLMs, NLP, Computer Vision, Time-Series Modeling. | • RAG-Risk-Analyst • Google-AI-Agents • Agentic-RAG-Research |
| Cloud | Azure Databricks · Azure ML · Azure Ecosystem |
Production deployment and infrastructure scaling. | |
| Deep Learning | PyTorch · TensorFlow |
Feature extraction and image classification on custom datasets. | • VGG16-Transfer-Learning • Medical-Data-Analysis |