
Data Scientist with 6.5 years of experience in Generative AI, AI/ML applications development, and cloud-native solutions across aerospace, healthcare, and engineering domains. Key expertise in driving innovation successfully across various AI fields that enhanced significantly organizational workflows. Experience in designing and deploying large-scale Multimodal LLMs, RAG architectures & pipelines, and AI-powered automations in AWS cloud and on-premises. Holds 2 patents in Generative AI. Recognized with 3 consecutive Global Innovation Awards and Promising Talent of the Year 2024 for contribution to AI applications deployment that enhanced data-driven decision making across critical engineering sectors. Certified AWS Solutions Architect and Databricks AI/ML associate level.
LLM - RAG
AWS
Python
AI Agents and Workflows
Timeseries Forecasting
Databricks
Generative AI Applications
Multimodal LLMs
Supervised Learning
Unsupervised Learning
Spark
NLP
Computer Vision
Power BI
Rest APIs
Fast API
Pytorch
Docker
Prompt Engineering
AI development Lifecycle
Unit testing
Load testing
Cloud deployment
Automation workflows