Professional Overview
AI/ML Engineer with 2 years of experience architecting and deploying production-grade Generative AI and Agentic AI solutions at Capgemini. Specialized in LangChain, Azure OpenAI GPT-4, LLM reasoning pipelines, and enterprise AI integrations across SAP, ServiceNow, and Microsoft Azure. Proven track record of reducing manual IT interventions through
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- AI/ML Engineer with 2 years of experience architecting and deploying production-
AI Expertise
Skills
Employment Type
Description of Responsibilities
- AI/ML Engineer with 2 years of experience architecting and deploying production-
Education
Field of Study: AI/ML
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
