
Results-driven data scientist with seven years of experience in machine learning, natural language processing, and model operations, specializing in building end-to-end AI pipelines that encompass data analysis, predictive modelling, and scalable deployment.Proficient in advanced AI techniques including Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and transformer architectures such as BERT.
Programming Language: Python, SQL
Machine Learning: BERT, GPT-based LLMs, RAG
frameworks, scikit-learn, TensorFlow, PyTorch,Vertex AI Pipelines, Hugging Face Transformers
LLMOps & MLOps: Model versioning, continuous
integration and deployment (CI/CD) for machine
learning models, model monitoring, automated
model retraining pipelines, and scaling models for
production environments
NLP: Text classification, summarization, question-
answering systems, semantic search
Containerization & Orchestration: Docker,
Kubeflow, Kubernetes
Cloud Platforms: Azure, AWS Bedrock
(serverless generative AI, foundation model
integration, scalable LLM applications)
Collaboration Tools: Git, Jira, Agile/Scrum
methodologies