Bhushan Kapkar
Senior GenAI Architect | Senior Manager GenAI/ ML | Lead Data Scientist at Optum (UHG) | Building Agents | Generative AI | Opensource | PyCon India | HydPy | NLP | LLM| ML | Deep learning | AWS | Kaggle |AZURE | MLOPS
- Role
- Lead Data Scientist at Optum
- Location
- Hyderabad, TG, IN
- LinkedIn followers
- 500 followers
About Bhushan Kapkar
With over 11+ years of work experience in a Product based Company, I have developed a strong expertise in Generative AI, Agentic AI, Natural Language Processing (NLP) and working with large language models. My proficiency in coding Python for Artificial Intelligence, including Data Science, Machine Learning, and VBA (Macro), has allowed me to tackle various domains such as healthcare and insurance, Software Asset Management, Non Banking Finance and Supply Chain ManagementI have acquired deep knowledge and understanding in the healthcare and insurance industries, including their unique challenges and regulations. This expertise enables me to effectively analyze and derive insights from healthcare and insurance data, as well as provide solutions and automation that align with industry-specific requirements.Throughout my career, I have successfully collaborated with diverse stakeholders and onsite teams, leveraging my skills to produce meaningful insights and automation solutions. This has enabled business professionals to enhance their efficiency and productivity. In recognition of my achievements, I have been honored with several awards, including the - Legato Impact Award- Best Innovation Award- Tech Genius Award- SBA Worldwide Best Contribution Award.
Experience
Lead Data Scientist
Jan 2023 — Present · Hyderabad, IN
Extract the data from different sources in Azure Databricks and Azure Machine learning of health care claims Medicare and Medicaid for training of model and Analytics - Responsible for overseeing activities of DS team ensuring proper execution of duties and alignment with business- Designed and fine-tuned and instruction tuning large language model using state-of-the-art architectures on a Healthcare dataset using Azure Open AI (chatgpt) and open source model llama2 to create end to end solution - Used a deep neural network architecture with multiple layers and attention mechanisms for the language model- Developed novel techniques that contribute to the LLM Reporting chatbot for quantitative analysis- Developed solution by creating Azure ML end point with auto scaling further dockerize and productionize the app
Education
YCCE
Bachelor of Engineering (BE), Electronics and Communications Engineering
2007 — 2011
Indira Institute of Managment
Master of Business Administration (MBA), Operations Management and Supervision
2012 — 2014
Skills
- Engineering
- Lean Management
- Operations Management
- Analysis
- Quality Management
- Java
- Microsoft Excel
- Purchase Management
- Microsoft Office
- Business Strategy
- Six Sigma
- C#
- C
- Supply Chain Management
- Vendor Management
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