Bolade Eyinla Oluwasanmi

Bolade Eyinla Oluwasanmi

$20/hr
Software developer
Reply rate:
-
Availability:
Hourly ($/hour)
Age:
22 years old
Location:
Fct, Fct, Nigeria
Experience:
4 years
OLUWASANMI BOLADE-EYINLA 42 Mike Akhigbe Way, Jabi, Abuja |-| - | LindkedIn | GitHub TECHNICAL SKILLS Languages and Databases: Python, JavaScript, MySQL, Bash, MongoDB, HTML & CSS. Certifications: Microsoft Azure Fundamentals, Microsoft Azure AI Fundamentals. Technologies and Tools: AWS, Azure, EC2, React, Git, NodeJS, Celery, NextJS, Tailwind CSS, Django, Fast API, Flask, Docker, Docker compose, GitHub actions, Pandas, NumPy, Matplotlib, Sklearn, TensorFlow, Keras. WORK EXPERIENCE MANAKNIGHT DIGITAL Canada(remote) Python Developer (full time) April 2025 - Present • Developed an AI-powered news recommendation system using FastAPI, Cohere, and Pinecone, integrating RSS feed parsing, vector embeddings, and personalized insights, resulting in enhanced user engagement through tailored content delivery • Developed a Marketing Assistant AI leveraging advanced language models, improving content creation efficiency and ensuring brand consistency for marketing teams. • Implemented a RAG (Retrieval-Augmented Generation) system and integrated Apache Tika for document parsing, achieving a 20% improvement in response times for document processing and analysis. • Technologies FastAPI, Flask, Flask-SocketIO, Celery, Apache Tika, OpenAI API, FAISS, SQLAlchemy, Pandas, Pinecone db. INPIRED TECHNOLOGIES Abuja Software Developer (Contract) December 2024 – Present • Developed and deployed scalable APIs using FastAPI for a government surveillance system, enabling real-time data processing and seamless integration with multiple security agency platforms. • Engineered AI-driven agents with CrewAI to deliver tailored recommendations to agencies, enhancing decisionmaking based on the severity of offenses and contextual data analysis leading to 30% faster response time. • Integrated Roboflow API into a real-time object detection and tracking system for a security surveillance project, enabling efficient model deployment and image processing to detect and track objects with high accuracy. • Part of the frontend team developed specific pages using Next.js and Tailwind CSS. • Technologies: NextJS, Tailwind CSS, Fast API, Roboflow, Docker, Docker compose. ERNST AND YOUNG (EY) Lagos Technology Consultant (Internship) April 2023 – September 2023 • Part of a team that designed and implemented an innovative application, leveraging power apps and data analysis to enhance staff deployment on projects. The application was able to help the team reduce downtime, increase staff productivity and enhance staff experience by 20%. • Collaborated with a team to develop a fraud detection algorithm using machine learning and real-time data analysis. The algorithm was 98% accurate in identifying fraudulent activities and was demonstrated to potential clients for deployment. • Technologies: Scikit learn, Power apps, Tensorflow, Pandas, Matplotlib. CBC TECHNOLOGIES Lagos Data Analyst (Internship) July 2022 – September 2022 • Developed an efficient data pipeline for storing data in a database, significantly reducing processing time and improving data management efficiency. • Developed a Python automation script to scrape websites for potential clients interested in the company's software, significantly reducing the time required for lead generation. • Technologies: MySQL, Pandas, Matplotlib, Beautiful Soup. PROJECTS • • Django Blog Platform: Engineered a full-featured blog application with user authentication, CRUD operations, interactive UI (Tailwind CSS), and automated CI/CD using Docker, Docker Compose, and GitHub Actions. Multimodal Recommendation System: Designed a Flask-based system integrating NLP and computer vision to provide personalized product recommendations from text and image inputs using Sentence Transformers, CNN, Pinecone, and Tesseract OCR. EDUCATION COVENANT UNIVERSITY B.Eng. Electrical and Electronics Engineering • CGPA: 4.92/5.00 (Top 1% of class of 2024) Ota, Ogun September 2019 – August 2024
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