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I am a dynamic Data Scientist and AI/ML Engineer with expertise in machine learning, statistical analysis, and data modeling. I am proficient in Python, R, SQL, and cloud technologies like AWS and Azure. I have a proven track record of designing and deploying advanced AI models that improve operational efficiency by 25% and reduce processing times by 30%, delivering measurable business impact. I excel at leading cross-functional teams to translate complex data into actionable insights and scalable AI solutions. My work spans NLP, LLMs, real-time analytics, and data pipelines, from experimentation to production, ensuring reliability, scalability, and alignment with business objectives.…I am a dynamic Data Scientist and AI/ML Engineer with expertise in machine learning, statistical analysis, and data modeling. I am proficient in Python, R, SQL, and cloud technologies like AWS and Azure. I have a proven track record of designing and deploying advanced AI models that improve operational efficiency by 25% and reduce processing times by 30%, delivering measurable business impact. I excel at leading cross-functional teams to translate complex data into actionable insights and scalable AI solutions. My work spans NLP, LLMs, real-time analytics, and data pipelines, from experimentation to production, ensuring reliability, scalability, and alignment with business objectives.

Lucas Tichawa

AI Engineer, Data Scientist, Data Analyst, +2

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I am a dynamic Data Scientist and AI/ML Engineer with expertise in machine learning, statistical analysis, and data modeling. I am proficient in Python, R, SQL, and cloud technologies like AWS and Azure. I have a proven track record of designing and deploying advanced AI models that improve operational efficiency by 25% and reduce processing times by 30%, delivering measurable business impact. I excel at leading cross-functional teams to translate complex data into actionable insights and scalable AI solutions. My work spans NLP, LLMs, real-time analytics, and data pipelines, from experimentation to production, ensuring reliability, scalability, and alignment with business objectives.…I am a dynamic Data Scientist and AI/ML Engineer with expertise in machine learning, statistical analysis, and data modeling. I am proficient in Python, R, SQL, and cloud technologies like AWS and Azure. I have a proven track record of designing and deploying advanced AI models that improve operational efficiency by 25% and reduce processing times by 30%, delivering measurable business impact. I excel at leading cross-functional teams to translate complex data into actionable insights and scalable AI solutions. My work spans NLP, LLMs, real-time analytics, and data pipelines, from experimentation to production, ensuring reliability, scalability, and alignment with business objectives.

Available to hire

I am a dynamic Data Scientist and AI/ML Engineer with expertise in machine learning, statistical analysis, and data modeling. I am proficient in Python, R, SQL, and cloud technologies like AWS and Azure. I have a proven track record of designing and deploying advanced AI models that improve operational efficiency by 25% and reduce processing times by 30%, delivering measurable business impact.

I excel at leading cross-functional teams to translate complex data into actionable insights and scalable AI solutions. My work spans NLP, LLMs, real-time analytics, and data pipelines, from experimentation to production, ensuring reliability, scalability, and alignment with business objectives.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior AI/ML Engineer at Aptean

January 1, 2024 - Present

Designed and deployed advanced machine learning models leveraging TensorFlow, Keras, and Scikit-learn, delivering a 25% improvement in prediction accuracy and a 30% reduction in data processing time. Spearheaded AI-driven automation within scalable microservices using Python, Golang, and Kubernetes, improving response times by 30% and boosting operational efficiency. Developed and optimized Large Language Models (LLMs) for chatbots, recommendation engines, and NL workflows, significantly enhancing performance and task efficiency. Built robust RESTful APIs with FastAPI, Flask, and API Gateway, enabling seamless integration with enterprise systems and third-party apps. Leveraged AWS and Azure to deploy models (Lambda, SageMaker, Fargate, AKS), cutting deployment times by 40% while ensuring scalability and reliability. Created real-time KPI monitoring with ML-based anomaly detection to drive proactive decision-making. Led cross-functional teams and implemented CI/CD pipelines (Jenkins, Gi

Data Scientist | AI/ML Engineer at Cigna Healthcare

December 1, 2023 - October 16, 2025

Led a cross-functional team of 5 engineers to develop backend systems using .NET Core and C#, delivering scalable microservices to support AI-based real-time applications and improved operational efficiency by 25%. Designed and implemented AI pipelines for data preprocessing, feature engineering, and model training. Mentored junior developers on NLP tasks (text classification, sentiment analysis, keyword extraction) using spaCy. Developed and fine-tuned large language models (LLMs) for enterprise AI with prompt engineering and retrieval-augmented generation. Built secure GraphQL and REST APIs, and led cloud optimization (Azure ML, DynamoDB) achieving 20% cost reduction. Advocated HIPAA/GDPR compliance.

Data Scientist | Data Analytics Specialist at Amazon

November 1, 2020 - October 16, 2025

Developed ML models for predictive analytics and anomaly detection; built scalable ETL pipelines with AWS SageMaker, Glue, DynamoDB, and Azure Data Factory. Designed AI workflows for data ingestion, feature engineering, model training, and real-time deployment using Kubeflow, ensuring continuous integration and efficient AI deployment. Delivered NLP solutions such as chatbot systems, text summarization, and named entity recognition with spaCy and Hugging Face Transformers to enhance automation and user experience. Collaborated with engineering teams to deploy AI systems into production, ensuring high availability and low latency. Utilized cloud technologies including AWS Lambda, S3, Fargate, and AKS for scalable deployment.

AI Solutions Architect | Machine Learning Engineer at Duke Energy

November 1, 2018 - October 16, 2025

Spearheaded the development of a robust and scalable application using Vue for the front-end and Laravel for the back-end, ensuring high performance and scalability. Managed the deployment of an AWS DocumentDB environment using Terraform, establishing a scalable infrastructure. Authored AWS Lambda functions to automate historical data ingestion into the database, ensuring data consistency for new projects. Developed a file ingestion system utilizing PySpark and API integration, streamlining data integration from Redshift, AuroraDB, and AWS Delta Lake. Worked with Kafka, Hadoop, AWS-EMR, EC2, Kinesis, S3, QuickSight, DynamoDB, RedShift, RDS, AWS Glue, and Lambda. Optimized data pipelines with Kafka and Flink, and designed SSIS packages for ETL. Implemented CI/CD pipelines in GitLab and performed data visualization with Tableau/Power BI.

Data Analyst at OPN LAB

June 1, 2017 - October 16, 2025

Utilized SAS and SAS Enterprise Miner for advanced statistical analysis and predictive modeling, resulting in improved forecast accuracy. Conducted data analysis using Python, R, SQL, and Java to extract actionable insights. Implemented robust data cleansing and quality assurance processes, enhanced data visualization with Tableau, Power BI, and QlikView, and leveraged cloud platforms (AWS, Azure, GCP) for scalable data processing.