Emmanuel Bright

Innovative Software Engineer with 5+ years of multifaceted experience in industrial automation and full-stack development, transitioning from mechatronics engineering to scalable cloud infrastructure, Proficient in HTML5, CSS3, JavaScript (ES6+), React/Vue.js/Angular, State Management, Build Tools (vite), Unit/Integration Testing, Node.js/Python/Java/Go, RESTful APIs, GraphQL , Authentication (JWT/OAuth2), Asynchronous Processing, SQL (PostgreSQL/MySQL), NoSQL (MongoDB/Redis), ORM/Query Builders, Git, Docker, Cloud Platforms (AWS/GCP/Azure), CI/CD, Linux/Unix Command Line, System Design, Security (OWASP Top 10), Clean Code & Design Patterns with a strong foundation in Robotic Process Automation (RPA) and distributed systems Passionate about bridging AI engineering with robust platform architecture and contributing to open-source ecosystems to solve complex scaling challenges.

Data Trainer | SME Careers (SuperAnnotate)

• Contributed to the development and refinement of Large Language Models (LLMs) by curating high-quality training datasets and providing human-in-the-loop (HITL) feedback to improve model accuracy and fluency
• Evaluated and ranked AI-generated responses based on factual accuracy, safety, and stylistic guidelines, reducing model "hallucinations" and improving contextual relevance
• Identified and documented bias, inaccuracies, and edge cases within model outputs, providing structured feedback to ML engineers to support iterative model improvement
• Developed and refined complex prompts to guide AI behavior, ensuring adherence to project-specific constraints and domain-specific knowledge requirements
• Maintained high data quality standards by strictly adhering to evolving annotation guidelines, consistently meeting performance benchmarks for accuracy and throughput

Industrial Training Intern DUFIL PRIMA FOODS PLC, NIGERIA • Maintained and optimized high-speed industrial machines and electrical systems, ensuring 99% uptime through proactive troubleshooting of automation equipment.

• Developed automated production monitoring workflows using Robotic Process Automation (RPA) principles, increasing data collection efficiency by 15%.
• Collaborated with senior engineers on preventive maintenance for the mixer section, reducing mechanical failure rates by 10% through rigorous testing.
• Enhanced control system performance by applying Python-based logic to industrial hardware interfaces, streamlining manufacturing operations.

Bachelor of Engineering (B.Eng.) - Mechatronics, Robotics, and Automation Engineering - FEDERAL UNIVERSITY OYE-EKITI

Full-Stack software Engineering IBM