◆ Built and deployed 5 AI projects in 5 weeks using React JS, Next.js, Firebase, Clerk, and Vercel, following agile methodologies with weekly sprints and incorporated CI/CD practices for iterative deployment.◆ Worked in a team of 3 to develop an interactive customer support agent using Next.js, integrated a custom RAG pipeline using OpenAI and Pinecone that responds based on a company's knowledge base.◆ Implemented a web scraper that automatically extracts data from Rate my Professor and upsert to a Pinecone index, integrated with a RAG pipeline using LangChain and OpenAI GPT-4o to get up-to- date and relevant answers to user queries.◆ Participate in weekly sessions with engineers from Google, Y Combinator, Stanford, Amazon and venture-backed startups.◆ Collaborated with 3 Fellows to build and deploy a SaaS product that generates dynamic flashcards based on any topic using the Llama 3.1 LLM via the Groq API, integrated a paywall and custom pricing plans using the Stripe API.

As part of Web3 Frontend Engineering training program, I served as Web3 Frontend engineer for StakePro, a simple and user-friendly decentralized application for staking on the Ethereum network for passive income while validating transactions on the network. In this role, I was the lead Web3 Frontend engineer on the team that led the development process from ideation to launch, collaborating with a team of product managers, designers, smart contract, and other stakeholders to ensure that the platform met user needs and delivered a seamless experience on demonstration.

Mentoring in the Google Africa Developer Scholarship program in Android Track: fixing bugs, Junit Tests, database, ui, firebase, mvvm,REST Api, motivation, demonstraions, giving helpful resouces, advice on using android permission and notifications