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Data

Data Scientist

N

Python

N

Gen AI, LLM Models

N

SQL

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About Data Scientist

A highly experienced Data Scientist with over 10 years of experience in predictive modeling, machine learning, and artificial intelligence. Key skills include:

  • Expertise in predictive modeling, clustering, classification, regression, natural language processing, and deep learning
  • Proficiency in cloud platforms Azure, AWS, and GCP
  • Experience with Generative AI, Vector databases, and LLM (Large Language Model ) solutions
    Strong skills in developing and deploying machine learning applications, including containerization and CI/CD pipelines
  • Ability to integrate machine learning models with chatbots and APIs ( using FastAPI)

Overall,  a strong background in data science, machine learning, and AI, with a focus on developing and deploying scalable and efficient solutions.

 

 

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Skills

Python
N

10 years

Python was used for analyzing large volumes of ion channel data at. It was also utilized in conjunction with Hadoop PySpark, for data processing and analysis within a big data environment, for tasks like linear regression and deep learning model development.
Generative AI and LLM Models
N

5 years

Utilized to develop and deploy production-ready solutions for tasks like efficient document indexing, summarization, and building advanced AI chatbots. Often leverage Retrieval-Augmented Generation (RAG) and embeddings to enhance document retrieval and improve agent efficiency in customer service interactions.
AI/ML Techniques
N

10 years

Utilized a wide range of AI/ML techniques, including predictive modeling, clustering, classification, supervised/unsupervised learning, regression, and deep learning frameworks, to develop and deploy cutting-edge solutions. Spearheaded the development of Generative AI systems, implemented Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) for chatbots, and applied Natural Language Processing (NLP) for entity recognition and similarity searches.
MLOps, CI/CD, DevOps
N

7 years

Leveraged MLOps, CI/CD, and DevOps principles by building CI/CD GitLab pipelines for model deployments and version control, ensuring automated and reliable integration and delivery of machine learning applications. Furthermore, demonstrated expertise in containerizing ML applications and building MLFlow and MLOps pipelines for end-to-end management of machine learning models in production environments