Cleveland Curtis Johnson

Senior AI Engineer | Generative AI Specialist
San Diego, US.

About

Highly accomplished Senior AI Engineer with over 6 years of progressive experience specializing in Generative AI, machine learning, and ethical AI deployment. Proven expertise in developing scalable ML algorithms, prompt engineering, and optimizing deep learning models to drive significant business outcomes, including boosting generative analytics by 30% and improving recommendation accuracy by 35%. Adept at leveraging Python, TensorFlow, PyTorch, and cloud platforms (AWS/Azure) to deliver innovative solutions and enhance operational efficiency and interpretability.

Work

Tech Innovations Inc.
|

Senior AI Engineer

San Francisco, CA, US

Summary

Led the development and integration of advanced ML algorithms and Generative AI solutions, significantly enhancing fintech analytics and team efficiency.

Highlights

Developed and deployed robust ML algorithms in Python, TensorFlow, and PyTorch, boosting generative analytics by 30% for fintech applications through prompt-engineered Large Language Models (LLMs).

Integrated Generative AI solutions with cross-functional teams, improving overall efficiency by 25% via neural optimization and ethical review frameworks.

Conducted advanced research on LLMs, reducing model training time by 40% and specializing in prompt engineering for complex, multi-topic guidelines.

Mentored 20+ team members on MLOps (AWS/Azure) best practices, increasing team productivity by 20% and optimizing deep learning for 10K+ datasets with 65% interpretability gains using Pandas and physics simulations.

DataSci Labs
|

Machine Learning Engineer

Los Angeles, CA, US

Summary

Designed and deployed scalable ML models for e-commerce, enhancing recommendation accuracy and optimizing cloud infrastructure.

Highlights

Designed and implemented scalable ML models for e-commerce, uplifting recommendation accuracy by 35% through Generative AI integration and robust bias reviews.

Integrated Google Cloud Platform tools to optimize infrastructure, cutting project costs by 15%, and engineered prompts for diverse tasks including physics-based modeling.

Analyzed large-scale datasets with NumPy/SciPy, prototyping high-value solutions worth over $256K, and deploying MLOps pipelines with 99% uptime.

Contributed to open-source GitHub projects, garnering 500+ stars in Rust/Go, and successfully adapted to Agile remote work environments and diffusion models.

StartUp AI Ventures
|

Junior Software Developer

San Diego, CA, US

Summary

Developed AI prototypes and enhanced system efficiency and cybersecurity while supporting remote teams.

Highlights

Built innovative AI prototypes using JavaScript/React, including Generative AI text synthesis with comprehensive output review capabilities.

Preprocessed extensive data and trained machine learning models with scikit-learn, accelerating iteration times by 25% and applying physics principles for system modeling.

Enhanced AI cybersecurity protocols and provided critical development support to remote teams using Angular, consistently meeting project deadlines and demonstrating high adaptability.

Education

University of San Diego
San Diego, CA, United States of America

Master of Science

Applied Data Science (Physics Specialization Equivalent)

Grade: 3.8/4.0

Courses

Advanced Machine Learning

Big Data Analytics

Cloud Computing

Quantum Physics for AI

Statistical Physics

AI Ethics

University of California, Los Angeles (UCLA)
Los Angeles, CA, United States of America

Bachelor of Science

Computer Science

Grade: 3.7/4.0

Courses

Data Structures

Algorithms

Introduction to AI

Web Development

Computational Physics

Awards

Hackathon Winner

Awarded By

LA Tech

Awarded for developing a Predictive Analytics Dashboard using React/D3.js and generative APIs for real-time data adaptation.

Certificates

Google Professional Machine Learning Engineer

Issued By

Google

Coursera Prompt Engineering Specialization

Issued By

Coursera

AWS Certified Solutions Architect - Associate

Issued By

Amazon Web Services (AWS)

IBM AI Engineering Professional Certificate

Issued By

IBM

Coursera AI for Everyone

Issued By

Coursera

TensorFlow Developer Certificate

Issued By

Google

Skills

Programming Languages

Python, JavaScript, Java, Rust, Go, SQL.

AI/ML Frameworks & Libraries

TensorFlow, PyTorch, scikit-learn, Keras, Pandas, NumPy, Matplotlib, SymPy.

Generative AI & NLP

GPT Fine-tuning, Stable Diffusion, Natural Language Processing (NLP), Computer Vision, Advanced Prompt Engineering, AI Output Reviewing (accuracy, ethics, coherence), Generative AI.

Cloud & DevOps

AWS, Azure, Docker, Kubernetes, MLOps, Git, Agile/Scrum.

Data & Analytics

Data Analysis, Big Data Analytics, Dataset Optimization.

Core Software Development

Web Development, Data Structures, Algorithms, AI Cybersecurity.

Professional Skills

Problem-solving, Collaboration, Continuous Learning, Rapid Task-switching, Complex Guideline Handling, Adaptability, Ethical AI (Bias Mitigation, Responsible Deployment), Mentorship.

References

Dr. Elena Ramirez

Lead Data Scientist, Tech Innovations Inc. | elena.ramirez@techinnovations.com

Prof. Michael Chen

Professor of Computer Science, UCLA | michael.chen@ucla.edu

Sarah Patel

CTO, DataSci Labs | sarah.patel@datascilabs.com

Jordan Lee

Senior Recruiter, Mercor Platform | jordan.lee@mercor.com

Projects

Generative AI Chatbot Prototype

Summary

Developed a Generative AI chatbot prototype with advanced prompt engineering and ethical review capabilities.

AI-Powered Recommendation System

Summary

Engineered an AI-powered recommendation system leveraging PyTorch for personalized user experiences.

Real-Time Image Recognition App

Summary

Created a real-time image recognition application for IoT devices, integrating physics simulations for enhanced accuracy.

Physics-Inspired Generative Model

Summary

Designed a generative model inspired by physics principles for data augmentation and guideline adherence.

Predictive Analytics Dashboard (Hackathon Winner)

Summary

Developed a predictive analytics dashboard, winning a hackathon for real-time data adaptation capabilities.

Cleveland Curtis Johnson