Professional Overview
AI Engineer with 2 years of industry experience specializing in Generative AI systems. Expert at building production RAG pipelines, MCP servers, and AI agents. Proficient in RLHF, SFT, and model evaluation across GPT-4o, Claude, and Gemini. Every project delivered with benchmarked performance metrics.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built and maintained end-to-end automation workflows using n8n and Python.
- Replacing manual technical processes across the organisation.
- Integrated multiple third-party APIs and services into unified workflows.
- Handling authentication, data transformation, error recovery
Key Achievements / KPIs
- Designed and deployed automation systems for client-facing operations including:
- Lead capture, data processing, and communication workflows.
- Collaborated directly with business stakeholders to gather technical requirement
- Translate them into automation logic, and deliver working solutions
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built and maintained end-to-end automation workflows using n8n and Python.
- Replacing manual technical processes across the organisation.
- Integrated multiple third-party APIs and services into unified workflows.
- Handling authentication, data transformation, error recovery
Key Achievements / KPIs
- Designed and deployed automation systems for client-facing operations including:
- Lead capture, data processing, and communication workflows.
- Collaborated directly with business stakeholders to gather technical requirement
- Translate them into automation logic, and deliver working solutions
Education
Field of Study: COMPUTER SCIENCE
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
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.
