I am a senior AI architect and machine learning engineer with over a decade of experience delivering production-grade AI systems. I design end-to-end AI lifecycles—from data engineering and model training to reinforcement learning and real-time delivery—across Google Cloud and AWS. I pride myself on building scalable backend architectures, distributed data pipelines, and low-latency AI-powered interfaces that drive measurable ROI and strategic transformation. I excel at collaborating with cross-functional teams to translate business needs into robust, cloud-native AI solutions. My focus is on reliability, performance, and delivering tangible innovation across enterprise and industrial use cases, while mentoring teammates and leading initiatives that push the boundaries of AI-enabled products.

Lukas Mercer

I am a senior AI architect and machine learning engineer with over a decade of experience delivering production-grade AI systems. I design end-to-end AI lifecycles—from data engineering and model training to reinforcement learning and real-time delivery—across Google Cloud and AWS. I pride myself on building scalable backend architectures, distributed data pipelines, and low-latency AI-powered interfaces that drive measurable ROI and strategic transformation. I excel at collaborating with cross-functional teams to translate business needs into robust, cloud-native AI solutions. My focus is on reliability, performance, and delivering tangible innovation across enterprise and industrial use cases, while mentoring teammates and leading initiatives that push the boundaries of AI-enabled products.

Available to hire

I am a senior AI architect and machine learning engineer with over a decade of experience delivering production-grade AI systems. I design end-to-end AI lifecycles—from data engineering and model training to reinforcement learning and real-time delivery—across Google Cloud and AWS. I pride myself on building scalable backend architectures, distributed data pipelines, and low-latency AI-powered interfaces that drive measurable ROI and strategic transformation.

I excel at collaborating with cross-functional teams to translate business needs into robust, cloud-native AI solutions. My focus is on reliability, performance, and delivering tangible innovation across enterprise and industrial use cases, while mentoring teammates and leading initiatives that push the boundaries of AI-enabled products.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
See more

Language

English
Fluent

Work Experience

Senior AI/ML Software Engineer at Essential Designs
November 1, 2023 - December 1, 2025
Architected and deployed a text-to-application AI platform in real time using Python 3.11, FastAPI, and Google Cloud; implemented LLM orchestration with Vertex AI, GPT-4o, and Claude 3; developed ML-based intent routing with Transformers, PyTorch, and scikit-learn; designed scalable data workflows with Apache Beam, BigQuery ML, and Dataflow; built backend microservices on Cloud Run with Firestore and PostgreSQL; automated end-to-end MLOps with Docker, Cloud Build, and Vertex AI Pipelines; created a real-time frontend with React, Next.js, and TypeScript, integrated with Pub/Sub and Memorystore for dashboards.
AI/ML Software Engineer at Langate Software
May 1, 2020 - October 1, 2023
Delivered production AI headshot lighting correction system (Python, Django, AWS) with scalable inference APIs; built synthetic data generation (TensorFlow, Keras, SageMaker); collected real-world datasets via photobooth automation; trained lighting normalization models (PyTorch, Albumentations, scikit-learn); orchestrated ETL/data pipelines (Airflow, AWS Glue, Athena); implemented containerized microservices (Docker, AWS ECS Fargate, PostgreSQL, Redis); established MLOps/monitoring stack (GitHub Actions, Terraform, MLflow, Prometheus, Grafana) and real-time WebSocket APIs via API Gateway and CloudFront.
Artificial Intelligence Engineer at Stakk
September 1, 2018 - April 1, 2020
Designed reinforcement learning control systems for refinery workflow automation; developed multi-agent architecture and reward modeling; built high-fidelity refinery simulation environment and data generation for safe RL training; implemented policy optimization and training pipelines with PPO, TensorBoard, and HDF5; managed experiment tracking and reproducible model lifecycles with MLflow, Docker, and Git.
Machine Learning Engineer at MAS Global Consulting
June 1, 2016 - August 1, 2018
Developed yield and margin prediction models; built CNN/LSTM models for crop classification; created time series forecasting pipelines; engineered agronomic/geospatial features; performed hyperparameter tuning and validation; ensured experiment tracking and reproducibility with MLflow, DVC, SHAP, and cross-validation metrics.

Education

Bachelor’s Degree in Computer Science at Florida Institute of Technology
August 1, 2012 - May 1, 2016
Bachelor’s Degree in Computer Science at Florida Institute of Technology
August 1, 2012 - May 1, 2016
Bachelor's Degree in Computer Science at Florida Institute of Technology
August 1, 2012 - May 1, 2016

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Manufacturing, Energy & Utilities, Media & Entertainment