I never plan to stop learning..
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- Explored the full AI product lifecycle, from discovery to delivery, through practical work and plenty of real case studies and great talks
- Focused on translating real user needs into AI-driven solutions, with strategy and ethics in mind
- Built and presented an AI MVP, getting direct feedback from experienced practitioners
- Learned alongside talented peers while staying current with fast-moving AI developments
09/2025
3 days Sprint, in person
SOFT KILLS:
- Product strategy
- Discovery
- Prototyping
- Storytelling
Oxford AI Ethics, Regulation and Compliance Programme
Said Business School, Oxford University
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- I explored how AI systems can cause real harm — like unfair decisions in hiring, banking, or policing — and learned how to spot and prevent these risks early.
- I studied ethical approaches to technology (outcomes, rights, values) and how to apply them in real-world cases like facial recognition, chatbots, and autonomous vehicles.
- I learned how to classify AI by risk level and what’s required to build safe, compliant systems — from transparency and testing to proper oversight.
- I now understand how to connect product, legal, and leadership teams to make AI more trustworthy, human-centered, and ready for upcoming regulations.
- Final Project: AI HR Recruitment system audit (using Oxethica)
05/2025 – 06/2025
Online, with live classes
SOFT KILLS:
- Ethical decision-making
- Critical thinking
- Risk awareness
Post Graduate Program Artificial Intelligence and Machine Learning
Purdue University (via Simplilearn)
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As the only participant without an engineering background, I have completed advanced AI/ML training with practical model development using Python.
Built and trained multiple machine learning and deep learning models including:
▪ Computer vision models (face recognition and medical image classification) using Keras / deep learning
▪ Predictive models such as real estate price prediction and loan approval classification
▪ Natural Language Processing models for customer feedback and complaint analysis
▪ Recommendation systems
▪ Data processing and analysis using NumPy, SciPy and other Python data libraries
Hands-on exposure to model training workflows, dataset preparation, evaluation metrics and practical AI application development. Strong understanding of how AI systems integrate into real-world products and operational environments.
Focused on applying machine learning to real-world problems across industries
09/2021 – 06/2022
Saturdays&Sundays, 4:30-7:30am
SOFT KILLS:
- Dedication
- Focus
- Resilience
- Open Mind
MBA – Master of Business Administration, Business Administration and Management
Birmingham City University, UK
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01/2011 – 07/2012
In Person
SOFT KILLS:
- Adaptability
- Calm under pressure
- Strategic thinking
- Fast decision-making
- High accountability
More coming soon.. in the meantime checkout my LinkedIn. Link on the contact page.
