● GenerativeAI Engineer with 13 years of overall IT experience and 6 years of Data Science experience.
● 8 months of hands-on Large Language Modelling (LLM) experience, creating end-to-end applications for…
● GenerativeAI Engineer with 13 years of overall IT experience and 6 years of Data Science experience.
● 8 months of hands-on Large Language Modelling (LLM) experience, creating end-to-end applications for
Customer Operations, SDLC automation and Document Processing.
● Adept in LangChain framework, Prompt Engineering techniques, Retrieval Augmented Generation (RAG), Vector
Databases, Azure OpenAI Service, fine-tuning, LLMOps – deploying models to AzureML / AWS Sagemaker,
model monitoring and model quantization.
In-depth understanding of machine learning algorithms such as Regression, Classification, Decision Trees,
Bagging/Boosting, Clustering, Recommendation Engine, Neural Networks, etc.
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● Experienced in designing, developing, and testing NLP applications for text data processing, such as word2vec,
text classification, named-entity extraction, information extraction, topic extraction, etc.
● Good understanding of Big Data Ecosystem and Working Experience with PySpark on large scale distributed data
processing systems.
As a Principal Data Scientist, I am responsible to:
• Design & architect end-to-end solutions in AI/ML/GenAI
• Create and implement PoV (Point of View) on the GenAI adoption for various client-facing challenges
• Research on new trends and technologies in GenAI
• Work on PoC and solution presentation to clients
• Provide technical support for the team
• Collaborating with design and product teams to integrate GenAI solutions
• Leading a team of young and experienced Data Scientists on various projects in GenAI Labs
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