• Design and Deployment: Designed and deployed production-grade LLM applications using LangChain and LangGraph. Developed RAG-based chatbots, including customer support agents, product advisors, and internal knowledge agents, all powered by vector databases and deployed on AWS.

• AI Personalization and Marketing Systems: Developed AI personalization systems and marketing intelligence tools. This includes creating recommendation engines, dynamic content personalization pipelines, campaign performance prediction models, lead scoring systems, and audience segmentation models.

• End-to-End Automation Workflows: Implemented comprehensive end-to-end LLM automation workflows for content generation, email campaign drafting, and social media content pipelines. Integrated scalable APIs to enhance web and digital platform interactions.

• AI Infrastructure Optimization: Architected a cost-efficient AI infrastructure with continuous monitoring and evaluation. Focused on optimizing latency, token usage, inference costs, and hallucination rates through prompt engineering, retrieval tuning, and A/B testing frameworks.

• Collaborated with experienced engineers to understand and contribute to product requirements.

• Participated in development tasks writing code for web and mobile applications using React and TypeScript.

• Supported software testing and debugging, troubleshooting issues to ensure reliable components.

• Contributed to Scrum-based environment through daily stand-ups, sprint planning, and retrospectives.

• Worked closely with technical personnel to support cybersecurity initiatives.

• Assisted in troubleshooting and debugging security issues in production systems.

• Participated in Agile team meetings and contributed to collective problem-solving.

• Completed a rigorous full-time software engineering program focused on real-world system development.

• Designed and built full-stack applications from architecture to deployment.

• Practiced professional engineering workflows including Git, CI/CD, and Agile collaboration.

• Modernized and optimized legacy Java systems to improve reliability and code quality.

• Completed a comprehensive Data Science qualification focused on extracting insights from real-world data.

• Applied analytical programming and machine learning techniques to build and evaluate predictive models.

• Developed data visualisation and model deployment skills to communicate insights and deliver production-ready solutions.

• Strengthened professional and collaboration skills through the THRIVE soft-skills program.

• Completed coursework in Computer Science, Informatics, Mathematics, and IT Management.

• Achieved distinctions in IT Management and Computer Science modules.

• Built a strong foundation in programming, systems thinking, and analytical problem-solving.