Professional Summary
I am an Automation & AI Developer with over a decade of experience in research data analysis and proven success in both the NGO and private sectors. My career began in advocacy-driven NGOs, where I leveraged research and automated data analysis to improve funding decisions, community campaigns, and development rights initiatives. Transitioning into the technology sector, I have combined this analytical foundation with AI engineering, automation, and integration development.
Currently, I design and deliver production-grade AI and automation systems using FastAPI, LangChain, n8n, and OpenAI/Claude models. I have implemented automation solutions and have developed efficient AI systems.
I am passionate about continuous learning, innovation, and mentoring professionals to achieve measurable career growth.
I am an Automation & AI Developer with over a decade of experience in research data analysis and proven success in both the NGO and private sectors. My career began in advocacy-driven NGOs, where I leveraged research and automated data analysis to improve funding decisions, community campaigns, and development rights initiatives. Transitioning into the technology sector, I have combined this analytical foundation with AI engineering, automation, and integration development.
Currently, I design and deliver production-grade AI and automation systems using FastAPI, LangChain, n8n, and OpenAI/Claude models. I have implemented automation solutions and have developed efficient AI systems.
I am passionate about continuous learning, innovation, and mentoring professionals to achieve measurable career growth.
My Mentoring Topics
1. Addressing skill gaps to land better roles
2. Creating CVs that accurately highlight skills and tech stacks
3. Building impressive portfolios with real-world impact
4. Identifying the right roles and companies to apply for
5. Preparing effectively for technical tests and interviews
6. AI automation and AI development techniques
7. Leveraging AI tools and automation to stay competitive
8. Using research data analysis techniques to strengthen decision-making and career strategy
2. Creating CVs that accurately highlight skills and tech stacks
3. Building impressive portfolios with real-world impact
4. Identifying the right roles and companies to apply for
5. Preparing effectively for technical tests and interviews
6. AI automation and AI development techniques
7. Leveraging AI tools and automation to stay competitive
8. Using research data analysis techniques to strengthen decision-making and career strategy