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*The event will be in English.
This event is part of the user group Python.
AGENDA:
I would cover following topics:
>>> Motivation – Why making Generative models explanable? Examples of failed cases (Google, Meta, Microsoft) – New EU AI regulations
>>> Advanced prompting techniques
>>> Grounding – approach to make model explanable
>>> Case study – Application of Gen AI for content generation in Healthcare
>>> Q&A
The event is free, but pre-registration is required.
USER GROUP: Python
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WHEN: May 12th, 7:30 pm
Experience:
1. 5+ years of experience in Data Science
2. Programming Skills: Python, SQL, Javascript, C
3. DS skills: Machine Learning, Deep Learning, Reinforcement Learning, Natural Language Processing, Generative AI
4. Cloud platforms: AWS, Google Cloud Platform, Microsoft Azure, Databricks, Cloudera Workbench
Education: Graduated from Carnegie Mellon University – Batch of 2020
Current Work:
1. Senior Data Scientist – Technical Lead at Amplify analytix
2. Spearheading R&D and business development for services focusing Retrieval Augmented Generation Architecture and Generative AI innovations.
3. Leading project delivery and business development for revenue cycle management in healthcare services.
Achievements:
1. Nominated for British Data Awards for Generative AI initiative of the year – 2024 and 2025.
2. Coauthored on research papers on application of AI for digital marketing:
„Time for Marketing to embrace Reinforcement Learning“ and „Artificial Intelligence for Smart Bidding“
Man Group Alpha Technology has a small company feel, it is flat structured and collaborative. It’s a great place to have an enormous impact.
