Professional Overview
AI-native technical solutions specialist combining applied AI, SaaS delivery, technical support, project coordination, and commercial experience. I turn complex requirements into reliable workflows, guide AI-assisted implementation, validate quality and security, and help teams deploy practical, user-focused solutions.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Turned business requirements into structured AI-agent execution plans.
- Orchestrated AI-assisted delivery and independently verified outputs.
- Built a production-ready SaaS foundation across 58 locales.
- Delivered billing, tax, support, security, and compliance workflows.
- Built CI/CD, mutation testing, and a custom Engineering Health Index.
Key Achievements / KPIs
- Established 14,900+ automated tests across unit and E2E coverage.
- Built 29+ CI/CD workflows and 96/96 release verification checks.
- Delivered 58 locales with more than 4,500+ translation keys.
- Achieved an Engineering Health Index score of 95.2/100 via self build EHI.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Provided Tier 1/2 support by phone, chat, and email.
- Diagnosed technical, product, and account-related issues.
- Prepared actionable escalations for specialist support teams.
- Maintained knowledge-base content and documented issue patterns.
- Collaborated with international teams in a remote environment.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Calculated technical projects and prepared customer quotations.
- Coordinated commercial teams, technicians, and project schedules.
- Translated customer requirements into feasible technical plans.
- Supported Sales in developing and maintaining customer relationships.
- Prepared service projects for structured technical handover.
Education
Field of Study: Electronics – Energy and Building Technology
Field of Study: Retail Management and Sales
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
