AI Consultant with 2 years of experience delivering real-world AI and data science solutions. Proven ability to collaborate with cross-functional teams and translate business needs into deployable systems. Experienced in developing and deploying solutions using computer vision, large language models (LLMs), and the Power Platform. Strong focus on automation, responsible AI, and human-centered design.
AI-Powered SOP Generation
Responsibilities:
Achievements:
Paint Defects Detection App (Custom Vision)
Responsibilities:
Achievements:
Responsibilities:
Programming & Development:
Python, R, SQL, NoSQL (PostgreSQL, MongoDB), Flask, ABAP, JavaScript, REST APIs
AI & Machine Learning:
Large Language Models (LLMs), Generative AI, NLP, Chatbots, Prompt Engineering, Computer Vision, Predictive Modelling, Reinforcement Learning, Forecasting Models, Retrieval-Augmented Generation (RAG)
AI Platforms & Tools:
Azure AI Studio, Azure OpenAI, Hugging Face, Google AI Studio (Gemini), LangChain, LlamaIndex
MLOps & DevOps:
Azure Pipelines, Docker, Kubernetes, GitOps, MLflow, Airflow, CI/CD, Model Versioning, Real-time Inference, API Integration, Git
Cloud & Infrastructure:
Microsoft Azure, AWS, Azure Blob Storage
Analytics & Visualisation:
Power BI, Tableau, Google Docs API, Power Platform (PowerApps, Power Automate, Power BI)
Enterprise Systems:
SAP SuccessFactors (Employee Central Core), SAP HCM, SAP S/4HANA, ABAP, Familiarity with SAP ECC modules (FI, MM, SD, PP, HR)
Methods & Practices:
Agile Development, Human-Centred Design, Responsible AI, AI Ethics, Cross-functional Collaboration, Stakeholder Communication, Prototype-to-Production Deployment, Digital Transformation
Exam Evaluation using Natural Language Processing