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I am a results-driven AI/ML Engineer with over six years of experience in building and deploying generative AI solutions, large language models, and scalable ML pipelines. I have successfully reduced user query resolution time by 35% and increased chatbot efficiency by 40% through managing end-to-end AI lifecycles, focusing on MLOps, NLP, and cloud-native deployments. Passionate about working cross-functionally, I excel at translating complex AI models into production-ready systems using the latest technologies like AWS, Kubernetes, and LangChain. In my career, I have led innovative projects involving transformer models, prompt engineering, and ethical AI practices, while contributing to top-tier AI/ML publications. My academic background complements my practical experience, enabling me to design robust AI systems deployable at scale and with diverse applications. I am open to roles such as AI/ML Engineer, MLOps Engineer, Applied Scientist, or Generative AI Specialist, aiming to drive cutting-edge AI innovation in remote or U.S.-based opportunities.…I am a results-driven AI/ML Engineer with over six years of experience in building and deploying generative AI solutions, large language models, and scalable ML pipelines. I have successfully reduced user query resolution time by 35% and increased chatbot efficiency by 40% through managing end-to-end AI lifecycles, focusing on MLOps, NLP, and cloud-native deployments. Passionate about working cross-functionally, I excel at translating complex AI models into production-ready systems using the latest technologies like AWS, Kubernetes, and LangChain. In my career, I have led innovative projects involving transformer models, prompt engineering, and ethical AI practices, while contributing to top-tier AI/ML publications. My academic background complements my practical experience, enabling me to design robust AI systems deployable at scale and with diverse applications. I am open to roles such as AI/ML Engineer, MLOps Engineer, Applied Scientist, or Generative AI Specialist, aiming to drive cutting-edge AI innovation in remote or U.S.-based opportunities.

Osei Brempong

AI Engineer, AI Developer, AI Prompt Engineer, +4

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I am a results-driven AI/ML Engineer with over six years of experience in building and deploying generative AI solutions, large language models, and scalable ML pipelines. I have successfully reduced user query resolution time by 35% and increased chatbot efficiency by 40% through managing end-to-end AI lifecycles, focusing on MLOps, NLP, and cloud-native deployments. Passionate about working cross-functionally, I excel at translating complex AI models into production-ready systems using the latest technologies like AWS, Kubernetes, and LangChain. In my career, I have led innovative projects involving transformer models, prompt engineering, and ethical AI practices, while contributing to top-tier AI/ML publications. My academic background complements my practical experience, enabling me to design robust AI systems deployable at scale and with diverse applications. I am open to roles such as AI/ML Engineer, MLOps Engineer, Applied Scientist, or Generative AI Specialist, aiming to drive cutting-edge AI innovation in remote or U.S.-based opportunities.…I am a results-driven AI/ML Engineer with over six years of experience in building and deploying generative AI solutions, large language models, and scalable ML pipelines. I have successfully reduced user query resolution time by 35% and increased chatbot efficiency by 40% through managing end-to-end AI lifecycles, focusing on MLOps, NLP, and cloud-native deployments. Passionate about working cross-functionally, I excel at translating complex AI models into production-ready systems using the latest technologies like AWS, Kubernetes, and LangChain. In my career, I have led innovative projects involving transformer models, prompt engineering, and ethical AI practices, while contributing to top-tier AI/ML publications. My academic background complements my practical experience, enabling me to design robust AI systems deployable at scale and with diverse applications. I am open to roles such as AI/ML Engineer, MLOps Engineer, Applied Scientist, or Generative AI Specialist, aiming to drive cutting-edge AI innovation in remote or U.S.-based opportunities.

Available to hire

I am a results-driven AI/ML Engineer with over six years of experience in building and deploying generative AI solutions, large language models, and scalable ML pipelines. I have successfully reduced user query resolution time by 35% and increased chatbot efficiency by 40% through managing end-to-end AI lifecycles, focusing on MLOps, NLP, and cloud-native deployments. Passionate about working cross-functionally, I excel at translating complex AI models into production-ready systems using the latest technologies like AWS, Kubernetes, and LangChain.

In my career, I have led innovative projects involving transformer models, prompt engineering, and ethical AI practices, while contributing to top-tier AI/ML publications. My academic background complements my practical experience, enabling me to design robust AI systems deployable at scale and with diverse applications. I am open to roles such as AI/ML Engineer, MLOps Engineer, Applied Scientist, or Generative AI Specialist, aiming to drive cutting-edge AI innovation in remote or U.S.-based opportunities.

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Intermediate

Work Experience

Applied AI Researcher at University of Utah

August 1, 2022 - Present

Designed and deployed AI-powered conversational solutions, integrating Conversational AI, Agent Assist, and Co-Pilot AI, improving response accuracy by 35% and reducing user query resolution time. Led research in NLP, reinforcement learning, and AI-driven automation to increase chatbot efficiency by 40% and reduce customer handling time by 25%. Managed the entire AI/ML model lifecycle including data collection, training, inference, deployment, and scaling. Collaborated with cross-functional teams to reduce solution integration time by 30%, improving scalability and adoption rates by 50%.

Deep Learning and NLP Researcher at Dalian Maritime University

August 31, 2022 - July 20, 2025

Engineered Transformer-based architectures (BERT, GPT, T5) for named entity recognition, text classification, and sentiment analysis achieving SOTA performance. Optimized Seq2Seq architectures for machine translation and text summarization using techniques like LoRA and QAT to reduce latency by 20%. Implemented machine learning algorithms including random forests and SVM for predictive modeling improving classification performance on real datasets.

Software Engineer at Uncle Fitter-APP

August 31, 2020 - July 20, 2025

Developed and maintained scalable web and mobile applications focusing on high availability, low latency, and efficient memory management using React, React Native, and Flutter. Achieved 99.9% uptime and sub-200ms response times. Improved app responsiveness by 30%, secured applications with multi-factor authentication reducing unauthorized access by 90%, and boosted bookings by 35% with a Quick Repair Request feature. Integrated third-party APIs and payment gateways ensuring PCI-DSS compliance and reduced transaction failures by 20%.

Data Analyst at NHIS

April 30, 2017 - July 20, 2025

Implemented robust data quality assurance protocols using SQL constraints, automated schema validation, and cross-region reconciliation scripts ensuring 99% data consistency. Designed analytics frameworks incorporating Bayesian inference and time-series forecasting impacting healthcare policies and increasing decision-making speed by 30%. Reduced query execution times by 35% through SQL query optimization and indexing.

AI Engineer at University of Utah

August 1, 2022 - Present

Designed and deployed AI-powered conversational solutions integrating Conversational AI, Agent Assist, and Co-Pilot AI, improving response accuracy by 35% and reducing user query resolution time through optimized AI-driven interactions. Led research in NLP, reinforcement learning, and AI-driven automation, increasing chatbot efficiency by 40% and reducing customer handling time by 25% by leveraging self-supervised learning, large language models, and AI agentic workflows. Managed end-to-end AI/ML model lifecycle, ensuring robust, production-ready solutions. Collaborated with engineering, product, and services teams to reduce AI solution integration time by 30%, improve scalability, and increase AI adoption by 50%, maintaining integrity and innovativeness in problem-solving.

Applied AI Researcher at Dalian Maritime University

August 1, 2022 - August 5, 2025

Engineered Transformer-based architectures (BERT, GPT, T5) for named entity recognition, text classification, and sentiment analysis achieving state-of-the-art performance. Optimized sequence-to-sequence architectures for neural machine translation and abstractive text summarization using low-rank adaptation and quantization-aware training to reduce inference latency by 20%. Implemented machine learning algorithms including random forests and SVMs for predictive modeling and feature engineering that improved classification in real-world datasets.

Unpaid Software Engineer at Uncle Fitter -APP

August 1, 2020 - August 5, 2025

Developed and maintained scalable web and mobile applications with a focus on high availability, low latency, and efficient memory management using React, React Native, and Flutter, achieving 99.9% uptime and sub-200ms response times. Improved app responsiveness by 30%, enhanced security with multi-factor authentication reducing unauthorized access by 90%, and boosted service bookings by 35% with Quick Repair Request feature. Integrated third-party APIs and payment gateways with OAuth 2.0 and JWT authentication ensuring PCI-DSS compliance and reducing transaction failures by 20%.

Data Analyst at NHIS

April 1, 2017 - August 5, 2025

Implemented robust data quality assurance protocols including SQL constraints, automated schema validation, and cross-region reconciliation scripts ensuring 99% data consistency across distributed health information systems. Designed advanced analytics frameworks integrating Bayesian inference and time-series forecasting, impacting over 10 healthcare policies and increasing decision-making speed by 30%. Achieved a 35% reduction in query execution times via SQL query optimization and indexing strategies.

AI/ML Engineer at University of Utah

August 1, 2022 - Present

Developed AI-powered Conversational AI and Co-Pilot solutions that improved query resolution times by 35% and increased chatbot efficiency by 40% through the use of LLMs, self-supervised learning, and agentic workflows. Led the entire machine learning lifecycle from data collection to deployment ensuring systems were production ready. Collaborated with cross-functional teams to accelerate AI integration by 30% and increase adoption by 50%. Delivered scalable AI systems incorporating ethical AI practices and bias mitigation. Utilized a tech stack including Python, PyTorch, Kubernetes, FastAPI, AWS, LangChain, OpenAI, and Docker.

Deep Learning & NLP Researcher at Dalian Maritime University

August 1, 2022 - September 4, 2025

Engineered state-of-the-art Transformer models such as BERT, GPT, and T5 for named entity recognition (NER), text classification, and sentiment analysis. Reduced inference latency by 20% using LoRA and quantization-aware training in neural machine translation and summarization models. Applied Random Forest and SVM algorithms to improve classification accuracy on real-world datasets. Published multiple peer-reviewed AI/ML research papers in top-tier conferences and journals. Participated in multilingual modeling experiments for global NLP applications.

Software Engineer at Uncle Fitter -APP

August 1, 2020 - September 4, 2025

Developed scalable web and mobile applications leveraging React and Flutter technologies achieving 99.9% uptime and latency under 200ms. Enhanced app responsiveness by 30% and implemented multi-factor authentication reducing unauthorized access by 90%. Integrated PayPal API with OAuth 2.0 and JWT to lower transaction failures by 20%. Led cross-platform development with focus on performance and memory efficiency. Increased service bookings by 35% by building a real-time Quick Repair Request feature.

Data Analyst at NHIS

April 1, 2017 - September 4, 2025

Ensured 99% data consistency through SQL QA protocols and validation scripts. Developed Bayesian inference models influencing healthcare policy decisions. Accelerated decision-making speeds by 30% using predictive analytics and forecasting. Enhanced query performance with indexing and partitioning strategies resulting in 35% gains. Automated cross-regional reconciliation processes to streamline national reporting.

AI/ML Engineer at University of Utah

August 1, 2022 - Present

Built AI-powered Conversational AI and Co-Pilot solutions improving query resolution time by 35%. Increased chatbot efficiency by 40% using large language models, self-supervised learning, and agentic workflows. Led end-to-end lifecycle of ML models from data collection to deployment ensuring production readiness. Collaborated cross-functionally to improve AI integration time by 30% and adoption rate by 50%. Delivered scalable systems incorporating ethical AI practices, bias mitigation, and innovative techniques.

Deep Learning & NLP Researcher at Dalian Maritime University

August 31, 2022 - September 4, 2025

Engineered state-of-the-art Transformer models such as BERT, GPT, and T5 for named entity recognition, classification, and sentiment analysis. Reduced inference latency by 20% using LoRA and quantization aware training in optimized neural machine translation and summarization models. Applied Random Forests and SVMs to enhance classification accuracy on real-world datasets. Published peer-reviewed research in top-tier AI/ML conferences and journals. Collaborated on multilingual model experiments for global-scale NLP initiatives.

Software Engineer at Uncle Fitter -APP

August 31, 2020 - September 4, 2025

Built scalable web and mobile applications using React and Flutter ensuring 99.9% uptime with less than 200ms latency. Improved app responsiveness by 30% and implemented multi-factor authentication reducing unauthorized access by 90%. Integrated PayPal API using OAuth 2.0 and JWT decreasing transaction failures by 20%. Led cross-platform development focusing on performance and memory efficiency. Increased service bookings by 35% via real-time Quick Repair Request feature.

Data Analyst at NHIS

April 30, 2017 - September 4, 2025

Ensured 99% data consistency by implementing robust SQL quality assurance protocols and validation scripts. Developed Bayesian inference models influencing over 10 healthcare policy decisions. Accelerated decision-making speed by 30% using predictive analytics and forecasting techniques. Optimized query performance with strategic indexing and partitioning achieving a 35% gain. Automated cross-regional reconciliation streamlining national reporting.