Professional Overview
AI Workflow Developer and Technical Business Analyst skilled in Python, SQL, and Hugging Face NLP. AWS Certified Cloud Practitioner with expertise in API integration and cloud deployment. I bridge business needs and technical solutions—mapping workflows, gathering requirements, and building AI-driven automation that reduces manual effort and accele
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Document interactions in CRM and ticketing systems with high data quality.
- Identify recurring issues and provide structured feedback for continuous proces
- Collaborate with internal teams and partners to resolve complex issues
Key Achievements / KPIs
- Maintain high data quality and compliance in CRM and ticketing documentation.
- Provide structured feedback that supports continuous process improvements.
- Resolve complex customer issues through cross-team collaboration and escalation.
- Support timely resolution of customer and partner issues.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built AI CV Analyser using Python and Hugging Face.
- Developed full-stack apps and automated workflows with APIs and cloud.
- Gathered business requirements, user stories, and acceptance criteria.
- Identified process improvements and automation opportunities
- Conducted system validation, SQL testing, and UAT.
Key Achievements / KPIs
- Improved CV Analyser accuracy via prompt engineering and preprocessing.
- Delivered 3 concurrent projects on time within Agile sprints
- Automated manual data tasks, reducing processing time by 40%
- Automated CV Analyser data tasks, cutting time from hours to minutes.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Completed intensive practical training in Python, SQL, PostgreSQL, Agile, AI
- Built and deployed cloud-hosted applications using modern development practices
- Developed foundational knowledge of systems integration, REST APIs, OAuth, data
- Studied fintech and cloud concepts, including secure data handling and business
Key Achievements / KPIs
- Built and deployed cloud-hosted applications during training.
- Completed practical SDLC, database, API, and AWS cloud training.
- Gained fintech cloud foundations and systems integration exposure.
Education
Field of Study: Engineering
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.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
