Bolade Eyinla Oluwasanmi

I am a highly accomplished and results-oriented professional with a strong background in software development, AI, and data analysis, holding a B.Eng. in Electrical and Electronics Engineering from Covenant University, where I graduated in the top 1% of my class. My expertise spans various programming languages and databases including Python, JavaScript, MySQL, and MongoDB, and I am proficient with a wide array of technologies such as AWS, Azure, React, Django, FastAPI, Docker, and TensorFlow. I also hold certifications in Microsoft Azure Fundamentals and Microsoft Azure AI Fundamentals.

In my current role as a Python Developer at Manaknight Digital, I have been instrumental in developing AI-powered solutions, including a news recommendation system using FastAPI, Cohere, and Pinecone that enhanced user engagement through tailored content delivery. I also developed a Marketing Assistant AI that improved content creation efficiency and brand consistency. Notably, I implemented a RAG system and integrated Apache Tika, which resulted in a 20% improvement in response times for document processing and analysis.

Prior to this, as a Software Developer at Inspired Technologies, I developed and deployed scalable APIs for a government surveillance system using FastAPI, enabling real-time data processing and seamless integration with security agency platforms. I engineered AI-driven agents with CrewAI, leading to a 30% faster response time in decision-making for agencies. I also integrated the Roboflow API for real-time object detection and tracking in a security surveillance project and contributed to frontend development using Next.js and Tailwind CSS.

My earlier experiences include an internship as a Technology Consultant at Ernst and Young (EY), where I contributed to an application that reduced downtime and increased staff productivity by 20%. I also collaborated on a fraud detection algorithm with 98% accuracy, demonstrated to potential clients. As a Data Analyst intern at CBC Technologies, I developed an efficient data pipeline and a Python automation script for lead generation, significantly reducing processing time and improving data management. My project work includes a full-featured Django Blog Platform and a Multimodal Recommendation System integrating NLP and computer vision.