Rag Fe
Implemented a retrieval augmented generation system in python fast api. Used pinecone for vector database. Deployed on aws ec2 with docker. Integrated gemini LLM for document chat. Implemented react front end for UI integrations.
Martin A. is a Full Stack Engineer with over six years of experience in software engineering. He specializes in building responsive and user-friendly applications with a focus on both front-end and back-end technologies. Martin's core stack includes JavaScript, Python, Node.js, React, Next.js, Django, and Flask. He builds APIs, web applications, and real-time communication systems, implementing practices such as secure authentication, performance optimization, and CI/CD. He is skilled in database management using SQL and MongoDB and utilizes infrastructure tools like Docker and Kubernetes for scalable deployment. One of Martin's notable projects involved implementing a retrieval augmented generation system using Python FastAPI, deployed on AWS EC2 with Docker, and integrated with Gemini LLM for document chat. He also crafted a responsive front-end application using React, demonstrating his ability to handle complex integrations and deployments. Martin holds a B.S.C. in Civil Engineering from the University of Ilorin. He is well-suited for roles that require building scalable, secure, and efficient applications, particularly those involving real-time data processing and user-centric design.
Implemented a retrieval augmented generation system in python fast api. Used pinecone for vector database. Deployed on aws ec2 with docker. Integrated gemini LLM for document chat. Implemented react front end for UI integrations.
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